756
Views
0
CrossRef citations to date
0
Altmetric
Articles

Domination number and feedback vertex number of complements of line graphs

&
Pages 171-176 | Received 21 Sep 2021, Accepted 27 Oct 2022, Published online: 08 Nov 2022

Abstract

In general, determining the domination number γ(G) and the feedback vertex number τ(G) of a claw-free graph (even a line graph) is NP-hard. In contrast, the situation becomes different for the complement of a line graph. In this paper, it is shown that γ(G¯)3 for a claw-free G with α(G)3, and thus determining the domination number of the complement of a claw-free G with α(G)3 is polynomial, where α(G) is the independence number of G. Furthermore, if a graph G is not a star, has no isolated vertex and isolated edge, then 2γ(J(G))3, where J(G) is the complement of the line graph L(G) of G. If a graph G is not a star, and has no isolated vertex, τ(J(G))=nΔ(G)1, provided Δ(G)6. For the case when Δ(G)5,τ(J(G)) is also given. Thereby, we are able to show that determining τ(J(G)) is polynomial.

1. Introduction

All graphs considered here are finite, undirected and simple. We refer to [Citation6] for unexplained terminology and notation. Let G=(V(G),E(G)) be a graph. The order |V(G)| and size |E(G)| are denoted by n and m, respectively. The degree and the neighborhood of a vertex v are denoted by dG(v) and NG(v), respectively. The complement of G is denoted by G¯. The maximum degree of G is denoted by Δ(G).

As usual, we use Kn, Cn, and Pn that denote the complete graph, the cycle, and the path of order n, respectively. For two positive integers, r, s, and Kr,s denote the complete bipartite graph with r vertices in one part and s vertices in the other part. In particular, Kr,s is called a star if min{r,s}=1.

Let G and H be two graphs. Their union and intersection are denoted by GH and GH, respectively. If G and H are disjoint, then GH is denoted by G + H, and the join GH is the graph obtained from G + H by joining each vertex of G to all vertices of H. Furthermore, for an integer k2, if GiG and V(Gi)V(Gj)= for any distinct i,j{1,,k},G1++Gk is denoted by kG.

The line graph L(G) of a graph G, is the graph with V(L(G))=E(G), in which two vertices are adjacent if and only if they are adjacent in G. We refer to [Citation4] for some related result on line graphs. In [Citation10], Chartrand et al. called the complement of line graph as the jump graph of a graph G, denoted by J(G). They presented some sufficient conditions for a jump graph to be hamiltonian. Wu and Meng [Citation29] gave a simple characterization of hamiltonian jump graphs, and confirmed the validity of a conjecture and disproved a conjecture in [Citation10]. We refer to [Citation2, Citation11, Citation18, Citation28] for more works on complements of line graphs.

For a given graph F, a graph G is called F-free if no induced subgraph of G is isomorphic to F. In particular, a K1,3-free graph is called a claw-free graph. It is well-known that a line graph is a claw-free graph, and thus the complement of a line graph is the complement of a claw-free graph. Note also that the complement of a triangle-free graph is claw-free. For simplicity, we use HG to denote that H is a subgraph of G or H is isomorphic to a subgraph G. Let G be a set of graphs. We use GG to denote that G is isomorphic to a member of G.

Let SV(G) and ME(G). The subgraph induced by S, denoted by G[S], is the graph with S as its vertex set, in which two vertices are adjacent if and only if they are adjacent in G. The subgraph induced by M, denoted by G[M], is the graph with M as its edge set, and with vertex set composed of all vertices incident with an edge of M in G. We call M a matching of G if no two elements of M is adjacent in G. The matching number of G, denoted by α(G), is the cardinality of a maximum matching of G. A set S is called a clique (resp. independent set) of G if any two vertices of S are adjacent (resp. nonadjacent) in G. The clique number ω(G) (resp. independence number α(G)) is the cardinality of a maximum clique (a maximum independent set) of G.

A set S is a dominating set of a graph G if every vertex in V(G)S is adjacent to at least one vertex of S in G. The domination number of G, denoted by γ(G), is the cardinality of a minimum dominating set of G. The independent domination number of a graph G, denoted by i(G), is the cardinality of a minimum maximal independent set of G.

Poljak [Citation24] showed that finding a maximum clique problem is NP-complete for claw-free graphs. In contrast, Minty [Citation22] and Sbihi [Citation26] showed that there is a polynomial algorithm to find an independent set of maximum weight in a weighted claw-free graph, and so there is a polynomial algorithm to determine α(G). Johnson [Citation13] was the first person to show that the determination of the domination number γ(G) of a graph is NP-complete. Later, Hedetniemi and Lasker [Citation15] showed the determination of the domination number γ(G) of a claw-free graph is NP-complete.

In contrast, we show that γ(G¯)3 for a claw-free G with α(G)3, and thus determining the domination number of the complement of a claw-free G with α(G)3 is polynomial. Furthermore, if G is a graph without the isolated vertex and isolated edge and is not a star, then 2γ(J(G))3, where J(G) is the complement of the line graph L(G) of G.

Given a graph G, an interesting question is that how many vertices must be removed so that no cycles remain? In this context, the number is called the decycling number of G, and was originally explored by Beineke and Vandell [Citation8]. Of course, what remains is an induced forest F of G. As it happens, Erdős, Saks, and Sós considered the more restricted problem of the maximum order of an induced tree in G [Citation12]. The same concept was also studied earlier in the context of electronics where cycles cause interference-hence the alternative but less natural name of vertex feedback. In general, we call this vertex set a feedback vertex set. A set SV(G) is called a feedback vertex set of G if GS is a forest of G. The feedback vertex number of G, denoted by τ(G), is the cardinality of a minimum feedback set of G. The forest number f(G) of G is nτ(G). In general, it is NP-hard to determine the feedback vertex number of a graph G [Citation16]. However, it becomes polynomial for specific families of graphs such as interval graph [Citation20], permutation graphs [Citation7], graphs with maximum degree 3 [Citation27]. Bau and Beineke [Citation3] provided a review of some earlier results and open problems on the decycling number of graphs. We refer to [Citation5, Citation9, Citation17, Citation19] for some recent results on it.

It is not hard to see that for a graph G, f(L(G))=max{e(H)|HG is a forest with Δ(H)2}.

Thus, f(L(G))n1, with equality if and only if G has a Hamilton path, where n is the order of G. Furthermore, determining the feedback number (or the forest number) of a line graph (claw-free) is NP-hard since it is NP-complete to determine whether a graph G has a Hamilton path [Citation6]. It is also well-known that determining the feedback vertex number of a bipartite (triangle-free) graph (their complements are claw-free) is NP-complete [Citation30].

The situation becomes different for the complements of line graphs. In Section 3, we show that f(J(G))=Δ(G)+1 for a graph G if Δ(G)=1 or Δ(G)5. For a graph without isolated vertices and with Δ(G)=2 and m4, we have 3f(J(G))4, with the left side of equality if and only if G contains a subgraph H{C4,P5,K3+K2}. For the case when Δ(G){3,4},f(J(G)) is also determined.

2. Domination number

Ore [Citation23] proved that for γ(G)n2 for a graph G of order n without isolated vertices. McCuaig and Shepherd [Citation21] showed that γ(G)2n5 for a connected graph with exception of seven graphs. Reed [Citation25] proved that γ(G)3n8. Allan and Laskar [Citation1] proved that γ(G)=i(G) for a claw-free G. Gernert [Citation14] proved that if G is 2-connected and claw-free of order n, then γ(G)n3, and the bound is sharp, since γ(Cn)=n3.

Theorem 2.1.

Let k3 be a fixed integer. If G is a K1,k-free graph with α(G)k, then γ(G¯)k. In particular, γ(G¯)3 for a claw-free G with α(G)3.

Proof.

Let S={v1,v2,,vk} be an independent set of G. Take a vertex vV(G)S. Since G is K1,k-free, v cannot be adjacent to each element of S in G, implying that v is adjacent to at least one element of S in G¯. This shows that S is a dominating set of G¯, and thus γ(G¯)k.

Note that for a graph G, α(G)2 if and only if G¯ is a triangle-free graph. In general, γ(G¯) can be arbitrarily large for a triangle-free graph G¯. For example, if α(G)=1, then GKn, thus γ(G¯)=n.

A matching M of G is called an induced matching if E(G[M])=M. If G has an isolated edge then, trivially, γ(J(G))=1. If G is a star of size m then J(G)Km¯ and thus γ(J(G))=m. The following theorem says that for any graph G, one can find a minimum dominating set of J(G) in polynomial time.

Theorem 2.2.

Let G be a graph without isolated vertices and isolated edges. If G is not a star, then 2γ(J(G))3.

Moreover, γ(J(G))=2 if and only if one of the following holds:

  1. G has an induced matching of size of 2,

  2. there exists a vertex of degree 2, whose two neighbors are not adjacent in G.

Proof.

Since G has no isolated edge, γ(J(G))2.

If G has a triangle, then the three edges of the triangle form a dominating set of J(G), and thus γ(J(G))3. So, assume that G has no triangle. Since G is not a star, α(G)2. If α(G)3, then any matching of cardinality three forms a dominating set of J(G). So, now we consider the remaining case when α(G)=2, and let M={e1,e2} be a matching of G. If there is no edge adjacent to both e1 and e2 in G, then M is a dominating set of J(G). So, now take an edge e3 adjacent to both e1 and e2 in G. Since G has no triangle, any edge eE(G){e1,e2,e3} is not adjacent to some element of {e1,e2,e3}, implying that {e1,e2,e3} is a dominating set of J(G). Summing up the above, γ(J(G))3.

We proceed to show the second half of the statement.

Sufficiency. Let {e1,e2} be an induced matching of size 2. Any edge eE(G){e1,e2} cannot be adjacent to both of e1 and e2. Hence e is adjacent to one of e1 and e2 in J(G), and thus γ(J(G))2. Now assume that there exists a vertex u with NG(u)={v,w} such that vwE(G). Set e1=uv,e2=uw. Clearly, it is easy to see that every edge eE(G){e1,e2} is adjacent to one of e1 and e2 in J(G). Again, we have γ(J(G))2.

Necessity. Let γ(J(G))=2 and S={e1,e2} be a dominating set of J(G). We consider two cases. If e1 and e2 are not adjacent, then {e1,e2} is an induced matching of G. Otherwise, an edge e3 is adjacent to both e1 and e2 in G, implying that e is adjacent to neither e1 nor e2 in J(G), contradicting that S={e1,e2} is a dominating set of J(G). Assume that e1 and e2 are adjacent in G and let e1=uv and e2=uw. Since S is a dominating set of J(G), it is easy to see that dG(u)=2 and vwE(G).

3. Forest number

In this section, we determine the forest number of the complement of a line graph. Since an isolated vertex does not affect the number of vertices in the complement of the line graph, we only consider the case where the graph G does not contain isolated vertex. Note that we will use e(G) to represent the number of edges of graph G in the rest of the article. We begin with a simple observation.

Observation 3.1.

If H is a subgraph of a graph G, then J(H) is an induced subgraph of J(G).

Lemma 3.2.

If G is a graph with e(G)Δ(G)+1, then J(G) is a forest.

Proof.

Since e(G)Δ(G)+1,e(G)=Δ or e(G)=Δ+1. If e(G)=Δ, then GK1,Δ, J(G) is a independent set with Δ vertices. If e(G)=Δ+1, then J(G) is the union of a star of Δ vertices and a isolated vertex. Combining the above, we conclude that J(G) is a forest if e(G)Δ(G)+1.

Corollary 3.3.

For any graph G with e(G)Δ(G)+1,f(J(G))Δ(G)+1.

Lemma 3.4.

Let G be a graph with Δ(G)=1 or Δ(G)5. If J(G) is a forest, then e(G)Δ(G)+1.

Proof.

If Δ(G)=1 and J(G) is a forest, then G2K2, and thus e(G)=Δ(G)+1. Now we consider the case when Δ(G)5. We assume that e(G)Δ(G)+2. Let v be a vertex of maximum degree in G, and e1,e2,,eΔ the edges incident with v in G. Take two edges eΔ+1,eΔ+2 of G not incident with v. We consider two cases.

Case 1.

eΔ+1 and eΔ+2 are not adjacent.

Since Δ5, there exists an edge ek that is adjacent to neither eΔ+1 nor eΔ+2 in G. Then {ek,eΔ+1,eΔ+2} induces a triangle in J(G).

Case 2.

eΔ+1 and eΔ+2 are adjacent.

Since Δ5, there exist two edges ei and ej, each of which is adjacent to neither eΔ+1 nor eΔ+2 in G. It can be seen that {ei,ej,eΔ+1,eΔ+2} induces a 4-cycle in J(G). □

The following result is an immediate consequence of the above lemmas.

Corollary 3.5.

If G is a graph with Δ(G)=1 or Δ(G)5, then J(G) is a forest if and only if G has at most Δ(G)+1 edges.

Lemma 3.6.

If G is a graph with Δ(G)=2, then J(G) is a forest if and only if G has at most three edges or is C4,P5orK3+K2.

Proof.

If e(G)Δ(G)+1, then by Lemma 3.2, J(G) is a forest. It is straightforward to check that J(G) is forest for each G{C4,P5,K3+K2}, since J(C4)2K2,J(K3+K2)K1,3 and J(P5)P4.

Conversely, assume that J(G) is a forest. Since {C4,P5,2P3,P4+K2,K3+K2,P3+2K2} is the set of all graphs with e(G) = 4 and Δ(G)=2, we have G{C4,P5,K3+K2}. If e(G)5, then either α(G)3 or G is a subgraph of 2K3. Let {e1,e2,e3} be a matching of G. Clearly, {e1,e2,e3} induces a triangle in J(G). In the latter case, J(G) contains C4. □

Let G35={A,B,C,D}, where A,B,C,D are the graphs as shown in .

Figure 1. All graphs G of size 5 with Δ(G)=3 such that J(G) is a forest.

Figure 1. All graphs G of size 5 with Δ(G)=3 such that J(G) is a forest.

Lemma 3.7.

If G is a graph with Δ(G)=3, then J(G) is a forest if and only if G has at most four edges or GG35 or G{K4,K4}, as shown in .

Figure 2. All graphs G of size 6 with Δ(G)=3 such that J(G) is a forest.

Figure 2. All graphs G of size 6 with Δ(G)=3 such that J(G) is a forest.

Proof.

If e(G)Δ(G)+1, then by Lemma 3.2, J(G) is a forest. One can check that both J(K4) and J(K4) are forests. Since GK4 or GK4, by Lemma 3.1, J(G) is also a forest.

Assume that J(G) is a forest and e(G)Δ(G)+2.

Claim 1.

If e(G) = 5, GG35.

Let vV(G) with dG(v)=3, and NG(v)={v1,v2,v3}. Let e1 and e2 be two edges of G not incident with v in G. First assume that e1 and e2 are not adjacent in G. If GC, as depicted in , then there exists an edge vvi which is adjacent to neither e1 nor e2. So, {e1,e2,vvi} induces a triangle of J(G), and thus GC. Next assume that e1 and e2 are adjacent in G, and let e1=xy,e2=yz. If {x,y,z}{v1,v2,v3}1, J(G) contains C4. If {x,y,z}{v1,v2,v3}2, then G{A,B,D}. Summing up the above, GG35.

Claim 2.

If e(G) = 6, G{K4,K4}.

Let vV(G) with dG(v)=3, and NG(v)={v1,v2,v3}. Let e1, e2 and e3 be the three edges of G not incident with v in G. By the result of Claim 1, GeiG35 for each i{1,2,3}. Otherwise G contains cycles. It follows that G{K4,K4}.

Finally, we complete the whole proof by showing that e(G)7 is not possible. Suppose HG with e(H) = 7. By Lemma 3.1, J(H) is a forest and further J(He) is also a forest for any eE(H). By Claim 2, He{K4,K4} if possible isolated vertices of He are deleted. If HeK4, then by Δ(H)3,α(H)3, and thus J(H) contains a triangle, a contradiction. If HeK4, then J(H) contains C6. The proof is complete. □

Let G46={K1(K1+P3),K12K2}, as given in .

Figure 3. K1(K1+P3) and K12K2.

Figure 3. K1∨(K1+P3) and K1∨2K2.

Lemma 3.8.

If G is a graph with Δ(G)=4, then J(G) is a forest if and only if G has at most five edges or GG46 or GK1(K1+K3).

Proof.

If e(G)Δ(G)+1, then by Lemma 3.2, J(G) is a forest. It is straightforward to check that J(G) is a forest for each GG46{K1(K1+K3)}.

Assume that J(G) is a forest and e(G)Δ(G)+2.

Claim 1.

If e(G) = 6, then GG46.

Let vV(G) with dG(v)=4, and NG(v)={v1,v2,v3,v4}. Let e1 and e2 be two edges of G not incident with v in G. First assume that e1 and e2 are not adjacent in G. If GK12K2, then there exists an edge vvi which is adjacent to neither e1 nor e2. So, {e1,e2,vvi} induces a triangle in J(G), and thus GK12K2. Next assume that e1 and e2 are adjacent in G. If GK1(K1+P3), then there exists two edges vvi, vvj each of which is adjacent to neither e1 nor e2. So, {e1,e2,vvi,vvj} induces a C4 in J(G), and thus GK1(K1+P3).

Claim 2.

If e(G) = 7, then GK1(K1+K3).

Let vV(G) with dG(v)=4, and NG(v)={v1,v2,v3,v4}. Let e1, e2 and e3 be the three edges of G not incident with v in G. By Claim 1 when e(G)=6,GeiG46 for each i{1,2,3}. It follows that G{K1(K1+K3),K1P4,3K1K2}. However, J(K1P4) contains C5 and J(3K1K2) contains C6. This shows that GK1(K1+K3) ().

Figure 4. K1(K1+K3).

Figure 4. K1∨(K1+K3).

Finally, we complete the proof by showing that e(G)8 is impossible. Suppose e(G)8 and HG with e(H) = 8. By Lemma 3.1, J(H) is a forest and further J(He) is also a forest for any eE(H). By Claim 2, HeK1(K1+K3), (see ) if possible isolated vertices of He are deleted. It follows that H is isomorphic to the graph shown in . It is easy to check that J(H) contains C5, a contradiction. The proof is complete. □

Figure 5. H where HeK1(K1+K3) for an edge e.

Figure 5. H where H−e≅K1∨(K1+K3) for an edge e.

Now we are ready to give our main theorem. The jump graph of a graph G is determined in terms of its maximum degree.

Theorem 3.9.

For any graph G, we have f(J(G))={Δ(G), if e(G)=Δ(G);Δ(G)+3, if {Δ(G)=4 and K1(K1+K3)G,Δ(G)=3 and K4G or K4G;Δ(G)+2, if {G has a subgraph H{C4,P5,K3+K2}G35G46,Δ(G)=4 and K1(K1+K3)G, and K4G or K4G,Δ(G)=5 and K1(K1+K3)G;Δ(G)+1,otherwise.

Proof.

If e(G)=Δ(G), then GK1,Δ, and J(G)KΔ¯. So, J(G) is itself a forest, and f(J(G))=Δ(G).

Next assume that e(G)Δ(G)+1. By Corollary 3.3, f(J(G))Δ(G)+1. We assume that f(J(G))Δ(G)+2. Let H be a subgraph of G with δ(H)>0 such that J(H) is a forest, subject to this, e(H) is maximum. By Lemma 3.1, f(J(G))=e(H).

If Δ(H)=1 or Δ(H)5, then by Corollary 3.5, e(H)Δ(H)+1. Since e(H)=f(J(G))Δ(G)+1, we have Δ(H)=Δ(G), and f(J(G))=Δ(G)+1. Thus, Δ(H){2,3,4}. Since J(H) is a forest, by Lemmas 3.6-3.8, e(H)Δ(H)+3. If e(H)=Δ(H)+2, then by e(H)Δ(G)+2, we have Δ(H)=Δ(G). Moreover, by Lemmas 3.6-3.8, H{C4,P5,K3+K2}G35G46 with Δ(H)=Δ(G).

Now assume that e(H)=Δ(H)+3. Since J(H) is a forest and Δ(H){2,3,4}, by Lemmas 3.6-3.8, Δ(H){3,4}. Since e(H)Δ(G)+2,Δ(H)Δ(G)1. If Δ(H)=Δ(G), then by Lemmas 3.6-3.8, Δ(G)=3, and K4G or K4G; or Δ(G)=4 and K1(K1+K3)G.

Next suppose that Δ(H)=Δ(G)1. If Δ(H)=3, then by Lemma 3.7, H{K4,K4}, and Δ(G)=4. Since f(J(G))=6=Δ(G)+2, by Lemma 3.8, K1(K1+K3)G. If Δ(H)=4, then Δ(G)=5, and by Lemma 3.8, HK1(K1+K3).

Acknowledgments

The authors would like to thank the anonymous referees for their valuable comments and suggestions.

Data availability

No data were used for the research described in the article.

Additional information

Funding

The work was supported by NSFC (No. 12061073) and Open Project of Key Laboratory in Xinjiang Uygur Autonomous Region of China (2022D04026).

References

  • Allan, R. B, Laskar, R. (1978). On domination and independent domination numbers of a graph. Discrete Math. 23(2): 73–76.
  • An, X, Wu, B. (2007). Hamiltonicity of complements of middle graphs. Discrete Math. 307(9-10): 1178–1184.
  • Bau, S, Beineke, L. W. (2002). The decycling number of graphs. Australas. J. Comb. 25: 285–298.
  • Beineke, L. W, Bagga, J. S. (2021). Line Graphs and Line Digraphs. Switzerland: Springer.
  • Bonamy, M., Dabrowski, K. K., Feghali, C., Johnson, M, Paulusma, D. (2018). Independent feedback vertex sets for graphs of bounded diameter. Inform. Process. Lett. 131: 26–32.
  • Bondy, J. A, Murty, U. S. R. (2008). Graph Theory. GTM 244, London: Springer.
  • Brandstädt, A. (1992). On improved time bounds for permutation graphs problem 18th International Workshop on Graph-Theoretic Concepts in Computer Science, WG92. In: Lecture Notes in Comput. Sci., vol. 657, Springer, Berlin, pp. 1–10.
  • Beineke, L. W, Vandell, R. C. (1997). Decycling graphs. J. Graph Theory 25(1): 59–77.
  • Chang, H., Fu, H. L, Lien, M. Y. (2013). The decycling number of outerplanar graphs. J. Comb. Optim. 25(4): 536–542.
  • Chartrand, G., Hevia, H., Jarrett, E. B, Schultz, M. (1997). Subgraph distances in graphs defind by edge transfers. Discrete Math. 170(1–3): 63–79.
  • Chen, X., Liu, J., Xie, D, Meng, J. (2016). Edge connectivity and super edge-connectivity of jump graphs. Inform. Optim. Sci. 37(2): 233–246.
  • Erdös, P., Saks, M, Sós, V. T. (1986). Maximum induced trees in graphs. J. Combin. Theory Ser. B. 41(1): 61–79.
  • Garey, M. R, Johnson, D. S. (1979). Computers and Intractability: A Guide to the Theory of NP-Completeness. New York: W. H. Freeman.
  • Gernert, D. (1989). Forbidden and unavoidable subgraphs. Ars Combin. 27: 165–176.
  • Hedetniemi, S. T, Laskar, R. (1986). Recent results and open problems in domination theory. In Applications of Discrete Mathematics (Clemson, SC, 1986). Philadelphia, PA: SIAM, pp. 205–218.
  • Karp, R. M. (1972). Reducibility among combinatorial problems. In: Complexity of Computer Computations (Miller, R. E., Thatcher, J. W. ed.). New York: Plenum Press, pp. 85–103.
  • Kuo, C. J., Hsu, C. C., Lin, H. R, Lin, K. K. (2009). An efficient algorithm for minimum feedback vertex sets in rotator graphs. Inform. Process. Lett. 109(9): 450–453.
  • Liu, X., An, X, Wu, B. (2009). On perf eu; ct matchings of complements of line graphs. Ars Combin. 90: 45–54.
  • Gao, L., Xu, X., Wang, J., Zhu, D, Yang, Y. (2015). The decycling number of generalized Petersen graphs. Discrete Appl. Math. 181: 297–300.
  • Lu, C. L, Tang, C. Y. (1997). A linear-time algorithm for the weighted feedback vertex problem on interval graphs. Inform. Process. Lett. 61(2): 107–111.
  • McCuaig, W, Shepherd, B. (1989). Domination in graphs with minimum degree two. J. Graph Theory 13(6): 749–762.
  • Minty, G. J. (1980). On maximal independent sets of vertices in claw-free graphs. J. Combin. Theory Ser. B. 28(3): 284–304.
  • Ore, O. (1962). Theory of Graphs. Amer. Math. Soc. Colloq. Publ., Vol. 38 (Amer. Math. Soc., Providence, RI).
  • Poljak, S. (1974). A note on stable sets and coloring of graphs. Comment. Math. Univ. Carolin. 15: 307–309.
  • Reed, B. (1996). Paths, stars, and number three. Combinator. Probab. Comp. 5(3): 277–295.
  • Sbihi, N. (1980). Algorithmes de recherche d’un stable de cardinalite maximum dans nn graphe sans etoile. Discrete Math. 29(1): 53–76.
  • Ueno, S., Kajitani, Y, Gotoh, S. (1988). On the nonseparating independent set problem and feedback set problem for graphs with no vertex degree exceeding three. Discrete Math. 38: 355–360.
  • Wu, B., Liu, X, Guo, X. (2008). Super-connected and hyper-connected jump graphs. Int. J. Comput. Math. 85(12): 1765–1769.
  • Wu, B, Meng, J. (2004). Hamiltonian jump graphs. Discrete Math. 289(1–3): 95–106.
  • Yannakakis, M. (1981). Node-deletion problem on bipartite graphs. SIAM J. Comput. 10(2): 310–327.