Generalized power domination in claw-free regular graphs††thanks: Supported in part by National Natural Science Foundation of China (No. 11871222) and Science and Technology Commission of Shanghai Municipality (Nos.
18dz2271000, 19JC1420100)
Hangdi Chen Changhong Lu111Corresponding author. Qingjie Ye
School of Mathematical Sciences,
Shanghai Key Laboratory of PMMP,
East China Normal University,
Shanghai 200241, P. R. China
Email: [email protected]
Email: [email protected]
Email: [email protected]
Abstract
In this paper, we give a series of couterexamples to negate a conjecture and hence answer an open question on the k-power domination of regular graphs (see [P. Dorbec et al., SIAM J. Discrete Math., 27 (2013), pp. 1559-1574]). Furthermore, we focus on the study of k-power domination of claw-free graphs. We show that for l∈{2,3} and k≥l, the k-power domination number of a connected claw-free (k+l+1)-regular graph on n vertices is at most k+l+2n, and this bound is tight.
Key words. power domination, electrical systems monitoring, domination, regular graphs, claw-free graphs
AMS subject classification. 05C69
1 Introduction
In this paper, we only consider simple graphs. Let G=(V(G),E(G)) (abbreviated as G=(V,E)) be a graph. The open neighborhood NG(v) of a vertex v consists of the vertices adjacent to v and its closed neighborhood is NG[v]=NG(v)∪{v}. The open neighborhood of a subset S⊆V is the set NG(S)=⋃v∈SNG(v) and its closed neighborhood is NG[S]=NG(S)∪S. The degree of a vertex v, denoted dG(v), is the size of its open neighborhood ∣NG(v)∣. Let v be a vertex of G and F be a subset of V. We denote NF(v)=NG(v)∩F, NF[v]=NG[v]∩F and dF(v)=∣NG(v)∩F∣. A graph G is k-regular if dG(v)=k for every vertex v∈V. If the graph G is clear from the context, we will omit the subscripts G for convenience. The complete bipartite graph with partite sets of cardinality i and j is denoted by Ki,j. A claw-free graph is a graph that does not contain a claw, i.e. K1,3, as an induced subgraph. For a set S⊆V, we let G[S] denote the subgraph induced by S. We say a subset S⊆V is a packing if the vertices in S are pairwise at distance at least three apart in G.
Electric power systems must be monitored continually. One way of monitoring these systems is to place phase measurement units (PMUs) at selected locations. Since the cost of a PMU is very high, it is desirable to minimize the number of PMUs. The authors of [3, 18] introduced power domination to model the problem of monitoring electrical systems. Then, the problem was formulated as a graph theoretical problem by Haynes et al. in [14]. Some additional propagation in power domination is using the Kirschoff’s laws in electrical systems. The definition of power domination was simplified to the following definition independently in [9, 10, 13, 16], which originally asked the systems to monitor both edges and vertices.
Definition 1.1**.**
(Power Dominating Set).
Let G=(V,E) be a graph. A subset S of V is a power dominating set (abbreviated
as PDS) of G if and only if all vertices of V are observed either by Observation Rule 1 (abbreviated
as OR 1) initially or by Observation Rule 2 (abbreviated
as OR 2) recursively.
OR 1.* all vertices in NG[S] are observed initially.*
OR 2.* If an observed vertex v has all neighbors observed except one neighbor u, then u is observed (by v).*
The power domination number γp(G) is the minimum cardinality of a PDS of G. The power domination problem is known to be NP-complete (see [1, 2, 13, 14]). Linear-time algorithms for this problem were presented for trees, interval graphs and block graphs (see [14, 16, 22]). The Nordhaus-Gaddum problems for power domination were investigated in [4] and parameterized results were given in [15]. The exact values of the power domination numbers of some special graphs were studied in [9, 10]. The upper bounds
for the power domination numbers of regular graphs were investigated (see, for example, [19, 21]).
Chang et al. [6] generalized power domination to k-power domination. In here, we use a definition of monitored set to define k-power dominating set.
Definition 1.2**.**
(Monitored Set).
Let G=(V,E) be a graph, let S⊆V, and let k≥0 be an integer. We define the sets (PGi(S))i≥0 of vertices monitored by S at step i by the following rules:
(1) PG0(S)=NG[S];
(2) PGi+1(S)=∪{NG[v]:v∈PGi(S) such that ∣NG[v]∖PGi(S)∣≤k}.
It is clear that PGi(S)⊆PGi+1(S)⊆V for any i. If PGi0(S)=PGi0+1(S) for some i0, then PGj(S)=PGi0(S) for every j≥i0 and we accordingly define PG∞(S)=PGi0(S).
Definition 1.3**.**
(k-Power Dominating Set).
Let G=(V,E) be a graph, let S⊆V, and let k≥0 be an integer. If PG∞(S)=V, then S is called a k-power dominating set of G, abbreviated k-PDS. The k-power domination number of G, denoted by γp,k(G), is the minimum cardinality of a k-PDS in G.
The k-power domination problem is known to be NP-complete for chordal graphs and bipartite graphs [6]. Linear-time algorithms for this problem were presented for trees [6] and block graphs [20]. The bounds for the k-power domination numbers in regular graphs were obtained in [6, 7]. The relationship between the k-forcing and the k-power domination numbers of a graph was given in [12]. The authors of [8] studied the exact values for the k-power domination numbers in Sierpinˊski graphs.
If G is a connected (k+1)-regular graph, then γp,k(G)=1. Some scholars began to study the k-power domination number of (k+2)-regular graphs. Zhao et al. [19] showed that if G is a 3-regular claw-free graph on n vertices, then γp,1(G)≤4n. Chang et al. [6] generalized this result to (k+2)-regular claw-free graphs. Dorbec et al. [7] removed the claw-free condition and show that γp,k(G)≤k+3n if G is a (k+2)-regular graph on n vertices. Moreover, they presented the following conjecture and question.
Conjecture 1.4**.**
([7])
For k≥1 and r≥3, if G≅Kr,r is a connected r-regular graph of order n, then γp,k(G)≤r+1n.
Question 1.5**.**
([7])
For r≥3, let G=Kr,r is a connected r-regular graph of order n. Determine the smallest positive value, kmin(r), of k such that γp,k(G)≤r+1n.
The result of Dorbec et al. in [7] implies that Conjecture 1.4 holds for k=1 and r=3 and kmin(r)≤r−2. Recently, Lu et al. [17] showed that Conjecture 1.4 does not always hold for each even r≥4 and k=1.
In this paper, we show that kmin(r)=r−2 for r≥3 and negate Conjecture 1.4 for each r≥4 and 1≤k≤r−3. We also show that there exists a series of claw-free r-regular graphs G of order n such that γp,k(G)>rn if k<⌊2r⌋. But Conjecture 1.4 may hold for claw-free r-regular graphs if k≥⌊2r⌋. The following theorem is the main result in this paper.
Theorem 1.6**.**
For l∈{2,3} and k≥l, if G is a connected claw-free (k+l+1)-regular graph of order n, then γp,k(G)≤k+l+2n and the bound is tight.
2 Counterexamples
Motivated by the concept of a fort proposed in [5], we define the concept of a k-fort, which is a natural generalization of a fort.
Definition 2.1**.**
(k-fort).
For an integer k≥1, a k-fort of a graph G is a nonempty set F⊆V such that each vertex of NG(F)\F is adjacent to at least k+1 vertices in F.
If F is a k-fort of G, then ∣F∣≥k+1. We immediately obtain the following proposition.
Proposition 2.2**.**
Let G=(V,E) be a graph and F be a k-fort of G. If S is a k-PDS of G, then S∩NG[F]=∅.
Observation 2.3**.**
For each r≥4 and q≥2, there exists a connected r-regular graph Dr,q=Kr,r of order n=2qr such that γp,r−3(Dr,q)=2q=rn>r+1n.
Proof.
We define the graph Dr,q as follows: Take q disjoint copies Di≅Kr,r−xiyi, where xi,yi∈V(Kr,r) and i∈{1,2,⋯q}. Then add edges yixi+1 for each i∈{1,2,⋯,q}, where xq+1=x1 (see Figure 1).
Suppose that T=⋃i=1q{xi,yi} and k=r−3. It is clear that T is a k-PDS of Dr,q. Then, we have γp,k(Dr,q)≤∣T∣≤2q. Now, we show γp,k(Dr,q)≥2q. Let S be a k-PDS of Dr,q. Assume that (Xi,Yi) is the bipartition of Di, where xi∈Xi, yi∈Yi and i∈{1,2,⋯,q}. We claim that ∣S∩V(Di)∣≥2 for each i∈{1,2,⋯,q}. Otherwise, without loss of generality, suppose that ∣S∩V(D1)∣≤1 and S∩Y1=∅. Then F=X1\(S∪{x1}) is a k-fort and NDr,q[F]∩S=∅, contradicting Proposition 2.2.
∎
By Observation 2.3, we know that Conjecture 1.4 does not always hold for each r≥4 and 1≤k≤r−3, and hence kmin(r)=r−2 for r≥3. A natural problem is whether rn is always the upper bound of γp,k(G) in Conjecture 1.4. We will discuss this problem using the relation between k-power domination and total domination in regular graphs.
A set S of vertices in a graph G is called a total domination set (abbreviated as TDS) of G if every vertex of G is adjacent to some vertex in S. The minimum cardinality of a TDS of G is the total domination number of G, denoted by γt(G). Now we present the following observation.
Observation 2.4**.**
For each k≥1 and r≥1, if G is a connected r-regular graph of order n, then there exists a connected r′-regular graph G′ of order n′=(k+2)n such that r′=(k+2)r and γp,k(G′)=γt(G).
Proof.
Let V(G)={v1,v2,⋯,vn}. Let G′ be the graph constructed from G as follows. Take n disjoint independent sets Vi={vi1,vi2,⋯,vik+2} corresponding to vi, where i∈{1,2,⋯,n}. For each edge vivj∈E(G), add the edges visvjq for each s,q∈{1,2,⋯,k+2} (see Figure 2).
Let S={vi1,vi2,⋯,vih} be a TDS of G with h=γt(G). It is easy to check that {vi11,vi21,⋯,vih1} is a k-PDS of G′. Hence, γp,k(G′)≤γt(G). On the other hand, let S′ be a k-PDS of G′ with ∣S′∣=γp,k(G′). We can change some vertices of S′ such that ∣S′∩Vi∣≤1 for each i∈{1,2,⋯,n}. Otherwise, without loss of generality, assume that ∣S′∩V1∣≥2. If there exists j∈{2,3,⋯,n} such that S′∩Vj=∅ and Vj⊆NG(v11), then S′′=(S′\V1)∪{v11} is also a k-PDS of G′ and ∣S′′∣<∣S′∣=γp,k(G′), a contradiction. Now we assume S′∩Vj=∅ for each Vj⊆NG(v11), where j∈{2,3,⋯,n}. Let S′′=(S′\V1)∪{v11,vj1}. Thus, S′′ is also a k-PDS of G′ such that ∣S′′∩V1∣=1. Let S′=S′′. Hence, we find a k-PDS S′ of G′ such that ∣S′∩Vi∣≤1 for each i∈{1,2,⋯,n}. Let S=∅. For each i∈{1,2,⋯,n}, if ∣S′∩Vi∣=1, we add vi to S. Then S is a TDS of G with ∣S∣=γp,k(G′), implying that γp,k(G′)≥γt(G).
∎
The authors of [11] constructed 3-regular graphs F0,q of order 4q such that γt(F0,q)=2q (see Figures 4-4). By Observation 2.4, we can construct Fk,q (=G′) from F0,q (=G), and so γp,k(Fk,q)=γt(F0,q)=2q=233k+6n′=2r′3n′. Hence, r′n′ is not the upper bound of γp,k(G′) in Conjecture 1.4.
Now, an interesting problem is whether rn is always the upper bound of γp,k(G) when G is claw-free. We will discuss this problem in next section.
3 Claw-free regular graphs
First, we establish the relation between k-power domination and domination by presenting Observation 3.1. Then, we use Observation 3.1 to construct a series of regular claw-free graphs satisfying that γp,k(G)=3(r+1)4n>rn, where r>3.
A set S of vertices in a graph G is called a domination set (abbreviated as DS) of G if every vertex of V∖S is adjacent to some vertex of G. The minimum cardinality of a DS of G is the domination number of G, denoted by γ(G).
Observation 3.1**.**
For each k≥1 and r≥1, if G is a connected r-regular claw-free graph of order n, then there exists a connected r′-regular claw-free graph G′ of order n′=(k+1)n such that r′=kr+r+k and γp,k(G′)=γ(G).
Proof.
Let V(G)={v1,v2,⋯,vn}. Let G′ be the graph constructed from G as follows. Take n disjoint cliques Vi={vi1,vi2,⋯,vik+1} corresponding to vi. For each edge vivj∈E(G), add the edges visvjq for each s,q∈{1,2,⋯,k+1} (see Figure 5). It is easy to check that G′ is a claw-free graph.
Let S={vi1,vi2,⋯,vit} be a DS of G with t=γ(G). Then {vi11,vi21,⋯,vit1} is a k-PDS of G′, implying that γp,k(G′)≤γ(G). On the other hand, let S′={vi1j1,vi2j2,⋯,vitjt} be a k-PDS of G′ with t=γp,k(G′). If there exists i∈{1,2,⋯,n} such that ∣S′∩Vi∣≥2, then S′′=(S′\Vi)∪{vi1} is also a k-PDS of G′ with ∣S′′∣<∣S′∣, a contradiction. Hence, ∣S′∩Vi∣≤1 for each i∈{1,2,⋯,n}. Thus, {vi1,vi2,⋯,vit} is a DS of G′, implying that γp,k(G′)≥γ(G).
∎
Let H be the graph of order 6 as drawn in Figure 7. We define the graph H0,q as follows. Take q disjoint copies Hi≅H, where i=1,2,⋯,q. For each i∈{1,2,⋯,q}, let xi,yi∈V(Hi) such that dHi(xi)=dHi(yi)=2. Add the edges yixi+1, where i=1,2,⋯,q and xq+1=x1 (see Figure 7). It is clear that H0,q is a connected 3-regular claw-free graph of order 6q. By Observation 3.1, we can construct Hk,q (=G′) from H0,q (=G).
Let S=⋃i=1q{xi,yi}. Then S is a DS of H0,q, implying that γ(H0,q)≤2q. Since γ(C4)=2, we get γ(H0,q)≥2q. So γ(H0,q)=2q. By Observation 3.1, γp,k(Hk,q)=γ(H0,q)=2q=344k+4n′=3(r′+1)4n′>r′n′. Hence, r′n′ is not always the upper bound of γp,k(G′) when G′ is claw-free.
Now we know that in Conjecture 1.4, if r−k is sufficiently large, then rn is not always the upper bound of γp,k(G). For each r≥4 and k=⌊2r⌋−1, we will show that Conjecture 1.4 does not always hold for claw-free r-regular graphs by presenting Observations 3.2 and 3.3. It means that kmin(r)≥⌊2r⌋ even restricted to claw-free regular graphs in the Question 1.5.
Observation 3.2**.**
For each odd r≥5 and q≥1, there exists a connected claw-free r-regular graph Gr,q of order n=∣V(Gr,q)∣ such that γp,2r−3(Gr,q)=r+1n+2>r+1n.
Proof.
We define Ai={ai1,⋯,ai(r−1)/2}, Bi={bi1,⋯,bi(r−1)/2} and Ui={ui1,ui2} for each i∈{0,1,⋯,q}. Then, we construct Gr,q by the following steps. Firstly, let V(Gr,q)=(A0∪B0)∪(⋃i=1q(Ui∪Ai∪Bi)). Secondly, add the edges such that Aq∪Bq, Ai∪Bi, Bi∪Ui+1 and Ui+1∪Ai+1 are cliques for each i∈{0,1,⋯,q−1}. Finally, add the edges a0jbqj and a0jbqj+1 for each j∈{1,⋯,2r−1}, where bq2r+1=bq1 (see Figures 10-10).
It is easy to check that Gr,q is a connected r-regular claw-free graph of order n=(q+1)(r+1)−2. Let k=2r−3.
Since {a01,⋯,aq1} is a k-PDS of Gr,q, we have γp,k(Gr,q)≤q+1. On the other hand, let S be a k-PDS of Gr,q. It is clear that Aq is a k-fort and Bi is also a k-fort for each i∈{0,⋯,q−1}. By Propostion 2.2, ∣S∩(Aq∪Bq∪Uq)∣≥1 and ∣S∩(Ai∪Bi∪Ui+1)∣≥1 for each i∈{0,⋯,q−1}. It leads to ∣S∣≥q. Moreover, if ∣S∣=q, then ∣S∩Ui∣=1 for each i∈{1,⋯,q}. In this case, PGr,q∞(S)=V\(A0∪Bq), contradicting that S is a k-PDS of Gr,q. Hence, γp,k(Gr,q)=q+1=r+1n+2>r+1n.
∎
Observation 3.3**.**
For each even r≥4 and q≥1, there exists a connected claw-free r-regular graph Gr,q of order n=∣V(Gr,q)∣ such that γp,2r−2(Gr,q)=r+1n+1>r+1n.
Proof.
We consider a graph Gr,q which was presented by Lu et al. in [17] and was noted by Qr,k in their paper. Let Ai={ai1,⋯,air/2}, Bi={bi1,⋯,bir/2} and Ui={ui} for each i∈{0,1,⋯,q}. Now we redefine Gr,q by the following steps. Firstly, let V(Gr,q)=(A0∪B0)∪(⋃i=1q(Ui∪Ai∪Bi)). Secondly, add the edges such that Aq∪Bq, Ai∪Bi, Bi∪Ui+1 and Ui+1∪Ai+1 are cliques for each i∈{0,⋯,q−1}. Finally, add the edges a0jbqj for each j∈{1,⋯,2r} (see Figures 13-13).
It is easy to check that Gr,q is a connected claw-free r-regular graph. Similar to the proof of Observation 3.2, we have γp,2r−2(Gr,q)=q+1=r+1n+1>r+1n.
∎
Hence, we will consider Conjecture 1.4 when G is a connected claw-free r-regular graph and k≥⌊2r⌋. It means that k≥2r−1. If we let r=k+l+1, we have k≥2k+l, implying that k≥l. Chang et al. [6] studied the case that l=1. We further studied the cases l=2 and l=3 by proving Theorem 1.6.
If the statement of Theorem 1.6 fails, then we suppose that G is a counterexample with minimal ∣V(G)∣, i.e, G is a connected claw-free (k+l+1)-regular graph of minimal order n and γp,k(G)>k+l+2n for l∈{2,3} and k≥l.
Before giving the proof of Theorem 1.6, we define an important structure, which is an L-configuration in G.
Definition 3.4**.**
(L-configuration).
The subgraph H≅G[N[L]] is an L-configuration if L is both a clique and a k-fort of G.
Let j≤k be a positive integer and Aj be the graph obtained from Kk+j+2 by removing j edges which share a common vertex in Kk+j+2 (see Figures 15-15). Remark that Aj is an L-configuration in G.
Then, we present three useful lemmas.
Lemma 3.5**.**
Let H be an L-configuration of G. If S⊆L and ∣S∣≥∣L∣−k, then N[S]=V(H).
Proof.
Suppose that S⊆L and ∣S∣≥∣L∣−k. It is clear that L⊆N[S]⊆V(H). For each v∈V(H)∖L, we have ∣NL(v)∩S∣≥1 since L is a k-fort of G and ∣L∣−∣S∣≤k. Hence, v∈N[S], implying that V(H)⊆N[S].
∎
Lemma 3.6**.**
Let H be an L-configuration of G and H′ be an L′-configuration of G. If V(H)∩V(H′)=∅, then V(H)=V(H′).
Proof.
For each u∈V(H)∩V(H′), we define Su=N[u]∩(L∩L′). Then ∣Su∣=∣N[u]∩L∣+∣N[u]∩L′∣−∣N[u]∩(L∪L′)∣ according to the inclusion and exclusion principle.
It is clear that ∣L∣−∣N[u]∩(L∪L′)∣≥(k+1)−(k+l+2)≥−k−1. We claim that the equation can’t hold. Otherwise, suppose the equation holds. Then, we have ∣L∣=k+1 and N[u]⊆L∪L′. Without loss of generality, assume u∈L, and so N[u]\L⊆N[L]∖L. Since L is a k-fort, N(v)∩L=L for each v∈N[u]\L. Since L′ is a clique and N[u]∖L⊆L′, we have N[u]∖L is a clique. It means that N[u] is a clique, and so G≅Kk+l+2, contradicting that G is a counterexample. So, ∣L∣−∣N[u]∩(L∪L′)∣≥−k.
We claim that L∩L′=∅. Otherwise, suppose that L∩L′=∅. If u∈/L∪L′ for each u∈V(H)∩V(H′), then dG(u)≥∣L∣+∣L′∣≥2(k+1)>k+l+1, a contradiction. Without loss of generality, we assume u∈L. Then ∣Su∣=∣N[u]∩L′∣+∣L∣−∣N[u]∩(L∪L′)∣≥∣N[u]∩L′∣−k≥1. It means that ∣L∩L′∣≥1, a contradiction. Hence, L∩L′=∅.
Let v∈L∩L′. Then ∣Sv∣=∣L∣+∣L′∣−∣N[v]∩(L∪L′)∣. It means that ∣Sv∣≥∣L∣−k and ∣Sv∣≥∣L′∣−k. By Lemma 3.5, V(H)=N[Sv]=V(H′).
∎
Lemma 3.7**.**
Let H be an L-configuration of G. Then, we have V(H)⊆P∞(u) for each u∈L.
Proof.
Let u∈L. If ∣L∣=k+1, then N[u]=V(H) by Lemma 3.5, implying that V(H)⊆P∞(u). Now suppose that ∣L∣≥k+2. Since G is a (k+l+1)-regular graph and l≤k, V(H)⊆P∞(u).
∎
We give the following method to choose a vertex subset P0 for G. First, let P0=∅. Then, we process the following step. If G contains an L-configuration and none vertex of L is contained in P∞(P0), then we add one vertex of L to P0. Process the step till G contains no such an L-configuration.
By Lemmas 3.6 and 3.7, it is clear that P0 is a packing of G. We extend the packing P0 of G to a maximal packing and denote the resulting packing by S0.
Lemma 3.8**.**
For l∈{2,3} and k≥l, G has a sequence S0,S1,⋯,Sq such that the following holds:
(a) For all t≥0, ∣St+1∣=∣St∣+1 and ∣P∞(St+1)∣≥∣P∞(St)∣+k+l+2.
(b) P∞(Sq)=V(G).
Proof.
We prove part (a) and part (b) by induction on t. If P∞(S0)=V(G), then there is nothing to prove. Hence, we may assume that P∞(S0)=V(G). Let t≥0 and suppose that St exists and P∞(St)=V(G). Denote M=P∞(St) and M=V(G)∖M. Let U={u ∣ u∈M and NG(u)∩M=∅}. For each vertex u∈U, since NG[u]⊆M, we note that dM(u)≥1 and k+1≤dM(u)≤k+l. Moreover, for each u∈U, we define Lu=NG(u)∩M={u1,u2,…,udM(u)}, Fu=NG(Lu)\Lu and Fu′=Fu∖{u}. Hence, k+1≤∣Lu∣≤k+l.
We claim that for each vertex x∈M, NG(x)∩U=∅. Otherwise, suppose to the contrary that there exists y∈M such that NG(y)∩U=∅. Then S0∪{y} is also a packing, contradicting that S0 is a maximal packing. Now we present seven useful claims.
Claim 1**.**
*If H is an L-configuration of G, then V(H)⊆M. *
Proof.
By the choose of S0 and Lemma 3.7, we immediately obtain the Claim 1.
∎
Claim 2**.**
For each u∈U, Lu induces a clique in G.
Proof.
Suppose x1 and x2 are two neighbors of u in Lu and u is observed by v in M. Then x1v,x2v∈/E(G). If x1x2∈/E(G), then {u,x1,x2,v} induces a claw, a contradiction. Therefore, Lu induces a clique in G.
∎
Claim 3**.**
Let u∈U. If ∣Lu∣+∣Fu∩M∣≥k+l+2, then for St+1=St∪{u1}, we have
∣P∞(St+1)∣≥∣P∞(St)∣+k+l+2.
Proof.
Suppose ∣Lu∣+∣Fu∩M∣≥k+l+2. By Claim 2, Lu induces a clique in G. We define St+1=St∪{u1} and we let j be the minimum integer such that Pj(St)=P∞(St). Then, N[u1]⊆P0(St+1)⊆Pj(St+1), and so Lu∪{u}⊆Pj(St+1). For each u′∈Lu∖{u1}, we have
[TABLE]
It means that N[u′]⊆Pj+1(St+1). Therefore,
[TABLE]
∎
Claim 4**.**
Let u∈U. If there exists a vertex w∈Fu∩M such that ∣Lu∣−dLu(w)≤k and vw∈/E for each v∈M∩Fu, then for St+1=St∪{w}, we have
∣P∞(St+1)∣≥∣P∞(St)∣+k+l+2.
Proof.
Suppose there exists a vertex w∈Fu∩M such that ∣Lu∣−dLu(w)≤k and vw∈/E for each v∈M∩Fu. By Claim 2, Lu induces a clique in G. Since NG(w)∩U=∅, there exists x∈U such that w∈Lx. We claim that Lx∩Lu=∅. Otherwise, without loss of generality, assume u1∈Lx∩Lu. Then, u1x∈E, and so x∈Fu∩M. It leads to xw∈/E, a contradiction. Hence, Lx∩Lu=∅. We define St+1=St∪{w} and we let j be the minimum integer such that Pj(St)=P∞(St). Then, N[w]⊆P0(St+1)⊆Pj(St+1). By Claim 2, Lx⊆Pj(St+1)∖Pj(St). Since ∣Lu∣−dLu(w)≤k, we have Lu⊆Pj+1(St+1). Therefore, we obtain
[TABLE]
∎
Claim 5**.**
If there is a vertex u∈U such that ∣Lu∣=k+l, part (a) follows as desired.
Proof.
Suppose there is a vertex u∈U such that ∣Lu∣=k+l. By Claim 2, Lu induces a clique in G. If there is a vertex w∈Fu′ such that dLu(w)≥k+1, then G[{u,w}∪Lu] is an L-configuration where L=NG(w)∩Lu, contradicting Claim 1.
Now we assume that dLu(w)≤k for each w∈Fu′. Then, ∣Fu′∣≥2. If there is a vertex w∈Fu′ such that w∈M, without loss of generality, suppose u1∈Lw. Since ∣Lw∣≥k+1 and dLu(w)≤k, there is a vertex w′∈Lw∖Lu. By Claim 2, u1w′∈E. It leads to d(u1)≥∣Lu∖{u1}∣+∣{u,w,w′}∣≥k+l+2, a contradiction. Now suppose Fu′⊆M. Then, ∣Lu∣+∣Fu∩M∣=∣Lu∣+∣Fu′∣≥k+l+2. By Claim 3, part (a) follows as desired.
∎
Claim 6**.**
When l=3, if ∣Lu∣=k+2 for each u∈U, part (a) follows as desired.
Proof.
When l=3, suppose ∣Lu∣=k+2 for each u∈U. By Claim 2, Lu induces a clique in G. Since G is a connected claw-free (k+l+1)-regular graph, ∣N(u1)∖(Lu∪{u})∣=k+l+1−(k+2)=2, implying that ∣Fu′∣≥2. We claim that ∣Fu′∣≥3. Otherwise, we suppose Fu′={w1,w2}, implying that dLu(w1)=dLu(w2)=k+2. Then, G[Lu∪Fu] is an L-configuration where L=Lu, contradicting Claim 1. Hence, ∣Fu′∣≥3. If Fu′∩M=∅, then ∣Lu∣+∣Fu∩M∣=∣Lu∣+∣Fu′∣≥k+l+2. By Claim 3, part (a) follows as desired.
Now suppose that Fu′∩M=∅. If there is a vertex w∈Fu′∩M such that dLu(w)≤k, without loss of generality, suppose that u1∈Lw. Since ∣Lw∣=k+2, there are two vertices w′,w′′∈Lw∖Lu. By Claim 2, u1w′,u1w′′∈E. It leads to d(u1)≥∣Lu\{u1}∣+∣{u,w,w′,w′′}∣=k+5, a contradiction.
If there is a vertex w∈Fu′∩M such that dLu(w)=k+1 , without loss of generality, suppose NLu(w)={u1,u2,⋯,uk+1}. Since ∣Lw∣=k+2, there is a vertex w′∈Lw∖Lu. By Claim 2, {u1,u2,⋯,uk+1,w′} induces a clique in G. Then, G[Lu∪{u,w,w′}] is an L-configuration where L=NG(w)∩Lu, contradicting Claim 1.
Finally, we consider the case that there is a vertex w∈Fu′∩M such that dLu(w)=k+2. Let Fu′′=Fu′∖{w}. If Fu′′∩M=∅, let w′∈Fu′′∩M. By the above argument, we deduce that dLu(w′)=k+2. Hence, G[Lu∪{u,w,w′}] is an L-configuration where L=Lu, contradicting Claim 1. Now suppose Fu′′⊆M. If ∣Fu′′∣=1, let Fu′′={w′′} and we have dLu(w′′)=k+2. Similar to the above proof, we obtain a contradiction. If ∣Fu′′∣=2, let Fu′′={w1,w2} and w1,w2∈M. Since dLu(w1)+dLu(w2)=k+2, without loss of generality, we assume that dLu(w1)≥2. Since ∣Lw∣=∣Lu∣=k+2, we obtain ∣Lu∣−dLu(w1)≤k, uw1∈/E and ww1∈/E. By Claim 4, we have proved part (a). If ∣Fu′′∣≥3, then ∣Lu∣+∣Fu∩M∣=∣Lu∣+∣Fu′′∣≥k+5. By Claim 3, part (a) follows as desired.
∎
Claim 7**.**
If there is a vertex u∈U such that ∣Lu∣=k+1, part (a) follows as desired.
Proof.
Suppose there is a vertex u∈U such that ∣Lu∣=k+1. By Claim 2, Lu induces a clique in G. If M∩Fu′=∅, then Fu′⊆M. Since G is a connected claw-free (k+l+1)-regular graph, ∣N(u1)∖(Lu∪{u})∣=k+l+1−∣Lu∣=l, implying that ∣Fu′∣≥l. We claim that ∣Fu′∣≥l+1. Otherwise, suppose Fu′={v1,v2,⋯,vl}, implying that Lu⊆NG[vi] for each i∈{1,2,⋯,l}. Then, G[Lu∪Fu] is an L-configuration where L=Lu, contradicting Claim 1. So, ∣Fu′∣≥l+1 and ∣Lu∣+∣Fu∩M∣=∣Lu∣+∣Fu′∣≥k+l+2. By Claim 3, part (a) follows as desired.
Now assume that M∩Fu′=∅. If there is a vertex w∈M∩Fu′ such that dLu(w)≤k−l+1, without loss of generality, suppose that u1∈NG(w)∩Lu. Since ∣Lw∣≥k+1, we have ∣Lw∖Lu∣≥l. Assume that {x1,x2,⋯,xl}⊆(Lw∖Lu). By Claim 2, u1xi∈E for each i∈{1,2,⋯,l}. It leads to d(u1)≥∣Lu∖{u1}∣+∣{u,w,x1,x2,⋯,xl}∣≥k+l+2, a contradiction.
Then, we suppose dLu(w)≥k−l+2 for each w∈M∩Fu′. If there exists a vertex w1∈Fu∩M such that vw1∈/E for each v∈M∩Fu, by Claim 4, part (a) follows as desired. Otherwise, we can assume that for each w1∈Fu∩M, there is a vertex v∈M∩Fu such that vw1∈E. By Claim 2, NG(v)∩Lu⊆NG(w1)∩Lu, and so dLu(w1)≥dLu(v)≥k−l+2. Hence, dLu(w1)≥k−l+2 for each w1∈Fu. If dLu(w)=k+1 for each w∈M∩Fu′, then for each w′∈Fu′∩M, there is a vertex w′′∈M∩Fu such that w′′w′∈E and dLu(w′′)=k+1. By the above argument, we deduce that dLu(w′)≥dLu(w′′)=k+1 and ∣Fu′∣=l. Then, G[Lu∪Fu] is an L-configuration where L=Lu, contradicting Claim 1.
If there is a vertex w∈M∩Fu′ such that dLu(w)=k, without loss of generality, suppose that NG(w)∩Lu={u1,u2,⋯,uk}. Since ∣Lw∣≥k+1, there is a vertex w1∈Lw∖Lu. By Claim 2, uiw1∈E for each i∈{1,2,⋯,k}. Let Fu′′=Fu′∖{w,w1}. It is clear that Fu′′=∅. For l=2, let w2∈Fu′′. Then dLu(w2)=1<k=k−l+2, contradicting that dLu(x)≥k−l+2 for each x∈Fu. For l=3, if there is a vertex w2∈Fu′′ such that {u1,u2,⋯,uk}⊆NG(w2)∩Lu, we can similarly get a contradiction. Now we assume that for each vertex v′∈Fu′′, {u1,u2,⋯,uk}⊆NG(v′)∩Lu. If Fu′′∩M=∅, suppose w2∈Fu′′∩M. Since dLu(w2)≥k−l+2≥k−1≥l−1≥2, we have NLu(w)∩NG(w2)=∅. Let x∈NLu(w)∩NG(w2). Since d(x)=k+4 and Claim 2, {u1,u2,⋯,uk}⊆NG(w2)∩Lu, a contradiction. So, Fu′′⊆M. Let y∈Fu′′. It is clear that uy∈/E. We claim that wy∈/E. Otherwise, suppose wy∈E. By Claim 2, {u1,u2,⋯,uk}⊆NG(y)∩Lu, a contradiction. Hence, ∣Lu∣−dLu(y)≤k and vy∈/E for each v∈M∩Fu. By Claim 4, part (a) follows as desired.
If there is a vertex w∈M∩Fu′ such that dLu(w)=k−1, then we obtain l=3 since dLu(w)=k−1≥k−l+2. Without loss of generality, assume that NG(w)∩Lu={u1,u2,⋯,uk−1}. Since ∣Lw∣≥k+1, there are two vertices w1,w2∈Lw∖Lu. By Claim 2, uiw1,uiw2∈E for each i∈{1,2,⋯,k−1}. Let Fu′′=Fu′\{w,w1,w2}. It is clear that Fu′′=∅. Then, for each w′∈Fu′′, we have dLu(w′)≤2. Since dLu(w′)≥k−l+2 and k≥l, we obtain k=3 and dLu(w′)=2. If Fu′′∩M=∅, then Fu′′⊆M. Let z∈Fu′′. Then, zu∈/E. We claim that zw∈/E. Otherwise, suppose zw∈E. By Claim 2, zu1∈E. It leads to d(u1)≥∣Lu∖{u1}∣+∣{u,w,w1,w2,z}∣≥k+5, a contradiction. Since ∣Lu∣−dLu(z)≤k and Claim 4, part (a) follows as desired. Then, we assume that Fu′′∩M=∅ and w3∈Fu′′∩M. If w1w3,w2w3∈E, then dLu(w1)=dLu(w2)=4 by Claim 2. So, G[Lu∪Fu] is an L-configuration where L=Lu∪{w1,w2}, contradicting Claim 1. If w1w3,w2w3∈/E, then there are two vertices w4,w5∈Lw3∖Lu. Since w3∈U and Claim 2, we have w4,w5∈Fu. Then, ∣Lu∣+∣Fu∩M∣≥∣Lu∣+∣{w1,w2,w4,w5}∣≥k+l+2. By Claim 3, part (a) follows as desired. Now we consider the last case. Without loss of generality, suppose w1w3∈E and w2w3∈/E. Then, there is a vertex w4∈N(w3)∖(Lu∪{w1}) such that w4∈M. By Claim 2, {u3,u4,w1,w4} induces a clique in G. So, d(w1)≥∣Lu∣+∣{w,w2,w3,w4}∣=8>k+l+1=7, a contradiction.
∎
Since ∣Lu∣∈{k+1,k+2} for l=2 and ∣Lu∣∈{k+1,k+2,k+3} for l=3, by Claims 5-7, part (a) follows as desired. Since ∣V(G)∣ is finite, there exists an integer q such that P∞(Sq)=V(G). Hence, we complete the proof.
∎
We are now in a position to prove our main result, namely, Theorem 1.6.
Proof.
Let G be a counterexample such that ∣V(G)∣ is minimal. Let S0,S1,⋯,Sq be a sequence satisfying properties (a)-(b) in the statement of Lemma 3.8 with q as small as possible. By Lemma 3.8 (b), the set Sq is a k-PDS in G, and so γp,k(G)≤∣Sq∣. Since S0 is a packing in G, we have that ∣P0(S0)∣=∣N[S0]∣=(k+l+2)∣S0∣. If q=0, then (k+l+2)∣S0∣≤n and γp,k(G)≤∣S0∣≤k+l+2n, a contradiction. Now we suppose that q≥1. By Lemma 3.8 (a), ∣Sq∣=∣S0∣+q. By our choice of q, we decuce that ∣P∞(St+1)∣≥∣P∞(St)∣+k+l+2 for 0≤t≤q−1. Thus,
[TABLE]
Hence, γp,k(G)≤∣Sq∣≤k+l+2n, a contradiction. This proves the desired upper bound.
Next, we show this bound is tight. For positive integers k≥l and t, we define the graph Ck,t as follows. Take t disjoint copies Ci≅Al and link any two copies (Ci,Ci+1) with l edges, where the subscripts are to be read as integers modulo t and where i=1,2,⋯,t. (see Figure 16). Then, Ck,t is a connected claw-free (k+l+1)-regular graph of order n=t(k+l+2). Suppose that S is an arbitrary k-PDS in Ck,t. It is easy to check that Ci contains a k-fort of G, where i=1,2,⋯,t. By Proposition 2.2, ∣S∩V(Ci)∣≥1 for each i∈{1,2,⋯,t}. It means that γp,k(Ck,t)≥t=k+l+2n. Since the above proof, we obtain γp,k(Ck,t)≤k+l+2n. Hence, γp,k(Ck,t)=k+l+2n.∎
4 Conjecture and Question
We pose the following conjecture which is still open.
Conjecture 4.1**.**
For l≥1 and k≥l, if G is a connected claw-free (k+l+1)-regular graph of order n, then γp,k(G)≤k+l+2n and the bound is tight.
Remark that if l=1, then the conjecture is true by the result of Chang et al. in [6]. If l∈{2,3}, the conjecture is true by our Theorem 1.6. When l≥4, the conjecture is still open. However, note that the bound of Conjecture 4.1 is tight since we can generalize the graph Ck,t (defined in Section 3) to achieve this bound.
Now we pose the following question.
Question 4.2**.**
For r≥3, let G be a connected claw-free r-regular graph of order n. Determine the smallest positive value, kmin(r), of k such that γp,k(G)≤r+1n.
By Observations 3.2 and 3.3, we deduce that kmin(r)≥⌊2r⌋. We remark that if Conjecture 4.1 is true, the answer of Question 4.2 is kmin(r)=⌊2r⌋.