Research article

Some spectral sufficient conditions for a graph being pancyclic

  • Received: 10 February 2020 Accepted: 16 June 2020 Published: 23 June 2020
  • MSC : 05C50, 15A18

  • Let G(V,E) be a simple connected graph of order n. A graph of order n is called pancyclic if it contains all the cycles Ck for k{3,4,,n}. In this paper, some new spectral sufficient conditions for the graph to be pancyclic are established in terms of the edge number, the spectral radius and the signless Laplacian spectral radius of the graph.

    Citation: Huan Xu, Tao Yu, Fawaz E. Alsaadi, Madini Obad Alassafi, Guidong Yu, Jinde Cao. Some spectral sufficient conditions for a graph being pancyclic[J]. AIMS Mathematics, 2020, 5(6): 5389-5401. doi: 10.3934/math.2020346

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  • Let G(V,E) be a simple connected graph of order n. A graph of order n is called pancyclic if it contains all the cycles Ck for k{3,4,,n}. In this paper, some new spectral sufficient conditions for the graph to be pancyclic are established in terms of the edge number, the spectral radius and the signless Laplacian spectral radius of the graph.


    In this paper, we use G=(V(G),E(G)) to denote a graph with the vertex set V(G)={v1,v2,,vn} and the edge set E(G). Let e(G)=m=|E(G)| be the number of edges of the graph G. For any vi V(G), di=dvi=dG(vi) represents the degree of vi. Let (d1,d2,,dn) be the degree sequence of G, where d1d2dn. Let δ or δ(G) be the minimum degree of G, and NG(v) be the set of neighbors of a vertex v in G. The complete graph of order n is denoted by Kn, and the complete bipartite graph with the partite sets X and Y with |X|=m and |Y|=n is denoted by Km,n. The disjoint union of G and H, denoted by G+H, is the graph with vertex set V(G)V(H) and edge set E(G)(H). In particular, if G1=G2==Gk, then let kG1=G1+G2++Gk. Similarly, we use GH to denote the join of G and H. The complete graph on n1 vertices together with an isolated vertex v is denoted by Kn1+v.

    Let A(G)=[aij] be the adjacency matrix of G, where aij=1 if vi is adjacent to vj, aij=0 otherwise. We use μ(G) to denote the maximum eigenvalue of A(G), which is called the spectral radius of G. Let D(G) be the diagonal degree matrix of G, and Q(G)=D(G)+A(G) be the signless Laplacian matrix of G. Let q(G) be the maximum eigenvalue of Q(G), which is called the signless Laplacian spectral radius.

    We call the cycle (path) containing all vertices of G the Hamilton cycle (path) of G. If graph G contains a Hamiltonian cycle (path), then G is a Hamiltonian traceable graph. If for any positive integer k(3kn), G contains a cycle of length k, then G is called a pancyclic graph. Obviously, a bipartite graph is not a pancyclic graph. In addition, a Hamilton cycle graph is certainly Hamiltonian, but the converse is incorrect. Determining whether a given graph is a Hamilton graph or not is one of the most difficult classical problems in graph theory. In fact, it is an NPcomplete problem.

    In recent years, more and more worldwide researchers use the spectral theory of graphs to solve this problem. First, Fiedler and Nikiforov [1] established a sufficient condition on spectral radius for the existence of a graph with Hamilton paths and Hamilton cycles. Yu and Fan [2] used the spectral radius of the adjacency matrix or signless Laplacian matrix of the graph or its complement to give a sufficient condition for the graph to be Hamilton-connected. Lu et al. [3] gave the spectral sufficient conditions for a bipartite graph to be a Hamilton graph. Many scholars have studied similar problems under different spectral conditions since that time, see [4,5,6,7,8,9,10]. Recently, Yu et al. [11] has discussed for the first time the spectral sufficient conditions for a graph with a minimum degree δ(G)2 to be a pancyclic graph. In this paper, a new edge sufficient condition for a graph with a minimum degree δ(G)3 to be a pancyclic graph is established by using a similar method. Then, a sufficient condition on (signless Laplacian) spectral radius of a graph to be a pancyclic graph is given based on the edge sufficient condition.

    Given a graph G with order n, a vector XRn, is called to be defined on G, if there is a 1-1 mapping φ from V(G) to vector, simply written Xu=φ(u).

    X is defined on G if X is the eigenvector of A(G)(Q(G)). Let Xu denote the term of X corresponding to vertex u. One can find that when λ is an eigenvalue of G corresponding to the eigenvector, X if and only if X0,

    λXv=uNG(v)Xu,for eachvV(G). (2.1)

    The equation above is the eigen-equation of G. One can find when q is an signless Laplacian eigenvalue of G corresponding to the eigenvector X if and only if X0,

    |qdG(v)|λXv=uNG(v)Xu,for eachvV(G). (2.2)

    The equation above is the signless Laplacian eigen-equation of G.

    Lemma 2.1 [12] Let G be a graph with n vertices, and its degree sequence is d1d2dn. G is a pancyclic graph or bipartite graph if for all positive integers k there is always dnknk and dkk<n/2.

    Lemma 2.2 [13] Let G be a graph with n vertices and m edges, then

    μ(G)2mn+1,

    and the equality holds if and only if G=Kn or G=K1,n1.

    Lemma 2.3 [14] Let G be a graph with n vertices and m edges, then

    q(G)2mn1+n2,

    and the equal sign is true if and only if G=Kn or G=K1,n1 when G is connected. If G is not connected, the equal sign is true if and only if G=Kn1+v.

    Lemma 2.4 [15] Let G be a Hamiltonian graph and satisfy e(G)n2/4, then G is either a complete bipartite graph Kn2,n2 (where n is even), or a pancyclic graph.

    Lemma 2.5 [16] If a Hamiltonian graph G of order n satisfies

    e(G)>(n1)24+1,

    then G is a pancyclic graph or G is a bipartite graph.

    Theorem 3.1 Let G be a connected graph with n(n5) vertices and m edges, and its minimum degree δ(G)3. If

    m(n32)+9, (3.1)

    then G is a pancyclic graph or a bipartite graph or GNP1={(3K1+Kn6)K3, (4K1+K3)K4, (6K1+K2)K6, 9K1K8, 8K1K7, (K1+K1,7)K6, K2,8K5, K6(2K1+K1,6), K42K1(K2+K1,6), K5(K1+K1,6), (K2+K1,5)K5, (2K1K4)7K1, (K1+K2+K1,4)K5, (2K1+K1,5)K5, (K1+K26K1)K4, (K1,5+K2)2K1K3, 7K1K6, K5(2K1+K1,3+K2), K4[K1+K1(K1,4+K2)], K4(K1+2K16K1), K3K3,7, K5(3K1+K1,4), K32K1(K1+K1,4+K2), K4[K1(K1+K1,5)+K1], K32K1(2K1+K1,5), (5K1+K2)K5, K4(K1(4K1+K2)+K1), 7K1K5, (5K1+K2)2K1K3, 6K1K5, K4(K1,4+K2), K4(K1+K1,5), K3K2,6, K4(K1+K1,3+K2), K4(2K1+K1,4), K3[(K25K1)+K1], K22K1(K1,4+K2), K4(K2+K1,2+2K1), K3(K1+K2,5), K2K3,6, K4(K1,3+3K1), K22K1(K1+K1,3+K2), [K1(K1,4+K1)+K1]K3, K22K1(2K1+K1,4), (4K1+K2)K4, K3[K1+K1(3K1+K2)], 6K1K4, (4K1+K2)2K1K2, 5K1K4, (K1,3+K2)K3, (K1+K1,4)K3, 5K12K1K2, (K1+K1,2+K2)K3, (2K1+K1,3)K3, (K1,3+K2)2K1K1}.

    Proof: Suppose that G is neither a pancyclic graph nor a bipartite graph. According to Lemma 2.1, there is a positive integer k makes 3dkk<n/2 and dnknk1 hold at the same time. Then we have

    2m=Σki=1di+Σnki=k+1di+Σni=nk+1dik2+(n2k)(nk1)+k(n1)=n2n+3k2+(12n)k=2(n32)+18(k3)(2n3k10),

    thus

    m(n32)+9(k3)(2n3k10)2. (3.2)

    Since

    (n32)+9m(n32)+9(k3)(2n3k10)2, (3.3)

    thus (k3)(2n3k10)0. Next, the following two cases are discussed.

    Case 1 Assume that (k3)(2n3k10)=0, i.e., k=3 or 2n3k10=0. All the above inequalities are equal and m=(n32)+9.

    Case 1.1 If k=3, then G is a graph with d1=d2=d3=3,d4=d5==dn3=n4,dn2=dn1=dn=n1. Three vertices with degree n1 must be connected to other vertices, then a K3 is obtained. The three vertices with degree 3 are not connected with other vertices, and a 3K1 is obtained. The remaining n6 vertices with degree n4 must be connected to each other to ensure that the degree is n4, so they induce a Kn6. According to the above analysis, the graph G is (3K1+Kn6)K3.

    Case 1.2 If 2n3k10=0, then we get n19 because 2n103=k<n2, and hence n=11, k=4, or n=14, k=6, or n=17, k=8. The corresponding permissible graphic sequences are (4,4,4,4,6,6,6,10,10,10,10), (6,6,6,6,6,6,7,7,13,13,13,13,13,13), (8,8,8,8,8,8,8,8,8,16,16,16,16,16,16,16,16). Analysis shows that the graphs G are (4K1+K3)K4, (6K1+K2)K6 and 9K1K8 respectively.

    Case 2 Assume that (k3)(2n3k10)<0, i.e., k>3 and 2n3k10<0. Because 2n10<3k<32n, then, n=15,k=7 or n=13,k=6 or n=12,k=5 or n=11,k=5 or n=10,k=4 or n=9,k=4.

    Case 2.1 If n=15, k=7. According to equation (3.3), we have 150Σ15i=1di154. All possible degree sequences and their corresponding graphs are shown in Table 1.

    Table 1.  The degree sequences and corresponding graphs of Case 2.1.
    Degree sum No. The degree sequence The graph
    154 1 (7, 7, 7, 7, 7, 7, 7, 7, 14, 14, 14, 14, 14, 14, 14) G=8K1K7
    152 2 (7, 7, 7, 7, 7, 7, 7, 7, 12, 14, 14, 14, 14, 14, 14) G=K6(K2+K1,6)
    3 (6, 7, 7, 7, 7, 7, 7, 7, 13, 14, 14, 14, 14, 14, 14) G=(K1+K1,7)K6
    4 (7, 7, 7, 7, 7, 7, 7, 7, 13, 13, 14, 14, 14, 14, 14) G=K2,8K5
    150 5 (7, 7, 7, 7, 7, 7, 7, 7, 10, 14, 14, 14, 14, 14, 14) G=K6(2K2+K1,4)
    6 (6, 7, 7, 7, 7, 7, 7, 7, 11, 14, 14, 14, 14, 14, 14) G=(K1+K1,5+K2)K6
    7 (6, 6, 7, 7, 7, 7, 7, 7, 12, 14, 14, 14, 14, 14, 14) G=K6(2K1+K1,6)
    8 (7, 7, 7, 7, 7, 7, 7, 7, 12, 13, 13, 14, 14, 14, 14) G=K42K1(K2+K1,6)

     | Show Table
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    Case 2.2 If n=13, k=6. According to equation (3.3), we have 108Σ13i=1di114. All possible degree sequences and their corresponding graphs are shown in Table 2.

    Table 2.  The degree sequences and corresponding graphs of Case 2.2.
    Degree sum No. The degree sequence The graph
    114 1 (6, 6, 6, 6, 6, 6, 6, 12, 12, 12, 12, 12, 12) G=7K1K6
    112 2 (5, 6, 6, 6, 6, 6, 6, 11, 12, 12, 12, 12, 12) G=K5(K1+K1,6)
    3 (6, 6, 6, 6, 6, 6, 6, 10, 12, 12, 12, 12, 12) G=(K2+K1,5)K5
    4 (6, 6, 6, 6, 6, 6, 6, 11, 11, 12, 12, 12, 12) G=(2K1K4)7K1
    110 5 (6, 6, 6, 6, 6, 6, 6, 8, 12, 12, 12, 12, 12) G=(2K2+K1,3)k5
    6 (5, 6, 6, 6, 6, 6, 6, 9, 12, 12, 12, 12, 12) G=(K1+K2+K1,4)K5
    7 (5, 5, 6, 6, 6, 6, 6, 10, 12, 12, 12, 12, 12) G=(2K1+K1,5)K5
    8 (4, 6, 6, 6, 6, 6, 6, 11, 11, 12, 12, 12, 12) G=(K1+K26K1)K4
    9 (6, 6, 6, 6, 6, 6, 6, 10, 11, 11, 12, 12, 12) G=(K1,5+K2)2K1K3
    108 10 (6, 6, 6, 6, 6, 6, 6, 6, 12, 12, 12, 12, 12) G=4K2K5
    11 (5, 6, 6, 6, 6, 6, 6, 7, 12, 12, 12, 12, 12) G=(K1+K1,2+2K2)K5
    12 (6, 6, 6, 6, 6, 6, 6, 9, 9, 12, 12, 12, 12) G=K4(K24K1+K3)
    13 (5, 5, 6, 6, 6, 6, 6, 8, 12, 12, 12, 12, 12) G=K5(2K1+K1,3+K2)
    14 (6, 6, 6, 6, 6, 6, 6, 8, 11, 11, 12, 12, 12) G=K32K1(K1,3+2K2)
    15 (4, 6, 6, 6, 6, 6, 6, 9, 11, 12, 12, 12, 12) G=K4[K1+K1(K1,4+K2)]
    16 (4, 6, 6, 6, 6, 6, 6, 10, 10, 12, 12, 12, 12) G=K4(K1+2K16K1)
    17 (6, 6, 6, 6, 6, 6, 6, 10, 10, 10, 12, 12, 12) G=K3K3,7
    18 (5, 5, 5, 6, 6, 6, 6, 9, 12, 12, 12, 12, 12) G=K5(3K1+K1,4)
    19 (5, 6, 6, 6, 6, 6, 6, 9, 11, 11, 12, 12, 12) G=K32K1(K1+K1,4+K2)
    20 (5, 5, 6, 6, 6, 6, 6, 10, 10, 12, 12, 12, 12) G=K4(K25K1+K2)
    21 (5, 5, 6, 6, 6, 6, 6, 10, 10, 12, 12, 12, 12) G=K4(K1(K1+K1,5)+K1)
    22 (5, 5, 6, 6, 6, 6, 6, 10, 10, 12, 12, 12, 12) G=K32K1(2K1+K1,5)

     | Show Table
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    Case 2.3 If n=12, k=5. According to equation (3.3), we have 90Σ12i=1di92. All possible degree sequences and their corresponding graphs are shown in Table 3.

    Table 3.  The degree sequences and corresponding graphs of Case 2.3.
    Degree sum No. The degree sequence The graph
    92 1 (5, 5, 5, 5, 5, 6, 6, 11, 11, 11, 11, 11) G=(5K1+K2)K5
    90 2 (4, 5, 5, 5, 5, 6, 6, 10, 11, 11, 11, 11) G=K4(K1(4K1+K2)+K1)
    3 (5, 5, 5, 5, 5, 5, 5, 11, 11, 11, 11, 11) G=7K1K5
    4 (5, 5, 5, 5, 5, 6, 6, 10, 10, 11, 11, 11) G=(5K1+K2)2K1K3

     | Show Table
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    Case 2.4 If n=11, k=5. According to equation (3.3), we have 74Σ11i=1di80. All possible degree sequences and their corresponding graphs are shown in Table 4.

    Table 4.  The degree sequences and corresponding graphs of Case 2.4.
    Degree sum No. The degree sequence The graph
    80 1 (5, 5, 5, 5, 5, 5, 10, 10, 10, 10, 10) G=6K1K5
    78 2 (5, 5, 5, 5, 5, 5, 8, 10, 10, 10, 10) G=K4(K1,4+K2)
    3 (4, 5, 5, 5, 5, 5, 9, 10, 10, 10, 10) G=(K1+K1,5)K4
    4 (5, 5, 5, 5, 5, 5, 9, 9, 10, 10, 10) G=K3K2,6
    76 5 (5, 5, 5, 5, 5, 5, 6, 10, 10, 10, 10) G=K4(K1,2+2K2)
    6 (4, 5, 5, 5, 5, 5, 7, 10, 10, 10, 10) G=(K1+K1,3+K2)K4
    7 (4, 4, 5, 5, 5, 5, 8, 10, 10, 10, 10) G=K4(2K1+K1,4)
    8 (3, 5, 5, 5, 5, 5, 9, 9, 10, 10, 10) G=K3((K25K1)+K1)
    9 (5, 5, 5, 5, 5, 5, 8, 9, 9, 10, 10) G=K22K1(K2+K1,4)
    74 10 (4, 5, 5, 5, 5, 5, 5, 10, 10, 10, 10) G=(K1+3K2)K4
    11 (4, 4, 5, 5, 5, 5, 6, 10, 10, 10, 10) G=K4(K2+K1,2+2K1)
    12 (5, 5, 5, 5, 5, 5, 6, 9, 9, 10, 10) G=(K1,2+2K2)2K1K2
    13 (3, 5, 5, 5, 5, 5, 8, 8, 10, 10, 10) G=K3(K1+K2,5)
    14 (5, 5, 5, 5, 5, 5, 8, 8, 8, 10, 10) G=K2K3,6
    15 (4, 4, 4, 5, 5, 5, 7, 10, 10, 10, 10) G=K4(K1,3+3K1)
    16 (4, 5, 5, 5, 5, 5, 7, 9, 9, 10, 10) G=K22K1(K1+K1,3+K2)
    17 (3, 4, 5, 5, 5, 5, 8, 9, 10, 10, 10) G=(K1(K1,4+K1)+K1)K3
    18 (4, 4, 5, 5, 5, 5, 8, 9, 9, 10, 10) G=K22K1(2K1+K1,4)

     | Show Table
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    Case 2.5 If n=10, k=4. According to equation (3.3), we have 60Σ10i=1di62. All possible degree sequences and their corresponding graphs are shown in Table 5.

    Table 5.  The degree sequences and corresponding graphs of Case 2.5.
    Degree sum No. The degree sequence The graph
    62 1 (4, 4, 4, 4, 5, 5, 9, 9, 9, 9) G=(4K1+K2)K4
    60 2 (4, 4, 4, 4, 5, 5, 7, 9, 9, 9) G=K3(K1(2K1+K2)+K2)
    3 (3, 4, 4, 4, 5, 5, 8, 9, 9, 9) G=K3(K1+K1(3K1+K2))
    4 (4, 4, 4, 4, 4, 4, 9, 9, 9, 9) G=6K1K4
    5 (4, 4, 4, 4, 5, 5, 8, 8, 9, 9) G=(4K1+K2)2K1K2

     | Show Table
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    Case 2.6 If n=9, k=4. According to equation (3.3), we have 48Σ9i=1di52. All possible degree sequences and their corresponding graphs are shown in Table 6.

    Table 6.  The degree sequences and corresponding graphs of Case 2.6.
    Degree sum No. The degree sequence The graph
    52 1 (4, 4, 4, 4, 4, 8, 8, 8, 8) G=5K1K4
    50 2 (4, 4, 4, 4, 4, 6, 8, 8, 8) G=(K1,3+K2)K3
    3 (3, 4, 4, 4, 4, 7, 8, 8, 8) G=(K1+K1,4)K3
    4 (4, 4, 4, 4, 4, 7, 7, 8, 8) G=5K12K1K2
    48 5 (4, 4, 4, 4, 4, 4, 8, 8, 8) G=3K2K3
    6 (3, 4, 4, 4, 4, 5, 8, 8, 8) G=(K1+K1,2+K2)K3
    7 (3, 3, 4, 4, 4, 6, 8, 8, 8) G=(2K1+K1,3)K3
    8 (4, 4, 4, 4, 4, 6, 7, 7, 8) G=(K1,3+K2)2K1K1

     | Show Table
    DownLoad: CSV

    Next, we consider the pancyclicity of these graphs. For convenience, we put the maximum length cycle L(G) of G in the appendix. In the following description, when it comes to the description of the graphs, we will use the sequence number of the graphs in the appendix.

    As can be seen from the appendix, according to Lemma 2.5, all the graphs of No.5-18 in the appendix are pancyclic. Others belong to NP1 and they are neither pancyclic nor bipartite.

    The proof is complete.

    Theorem 3.2 Let G be a connected graph with n(n5) vertices and m edges, and its minimum degree δ(G)3. If

    μ(G)n28n+31,

    then G is a pancyclic graph or a bipartite graph.

    Proof: Suppose that G is neither a pancyclic graph nor a bipartite graph. Because a complete graph is a pancyclic graph and δ(K1,n1)=1, then G cannot be a complete graph or K1,n1. In such a situation, the equation in Lemma 2.2 is invalid. By Lemma 2.2, n28n+31μ(G)<2mn+1, i.e., m>(n32)+9.

    By Theorem 3.1, G is a pancyclic graph or a bipartite graph or GNP1. It can be calculated that (3K1+Kn6)K3, (4K1+K3)K4, (6K1+K2)K6, 9K1K8 satisfy m=(n32)+9, which is contradiction. Next, we will study whether the graphs of No.19-69 satisfy the spectral radius condition in the Theorem 3.2. Note that GNP2 and NP2 is the set of graphs of No.19-69 in the appendix.

    Take (2K1K4)7K1 as an example:

    Let X=(X1,X2,,X13)T be the eigenvector corresponding to μ(G), where Xi(1i2) corresponds to the vertex of degree 11, Xi(3i6) corresponds to the vertex of degree 12 and Xi(7i13) corresponds to the vertex of degree 6. By eigen-equation (2.1), then we have

    {X1=X2,X3=X4=X5=X6,X7=X8=X9=X10=X11=X12=X13μ(G)X1=4X3+7X7μ(G)X3=2X1+3X3+7X7μ(G)X7=2X1+4X3

    Transform the above equations into the matrix equation (A(G)μ(G)I)X=0, where X=(X1,X3,X7)T and

    A(G)=(047237240).

    Let f(x)=|xIA(G)|=x33x250x70, then the maximum root of f(x)=0 is μ(G)=9.235. It can be calculated that μ(G)<1328×13+31, which is contradiction. The remaining graphs are studied in the same way, and the results are shown in Table 7.

    Table 7.  The spectral radius and the signless Laplacian spectral radius of G.
    G μ(G) (n28n+31) q(G) 24n1+2n8
    No.19 11.0623 11.6619 23.4121 23.71429
    No.20 10.9484 11.6619 23.2009 23.71429
    No.21 10.8783 11.6619 21.9831 23.71429
    No.22 10.8374 11.6619 23.0178 23.71429
    No.23 10.7164 11.6619 22.6516 23.71429
    No.24 9.3157 9.7980 19.7584 20
    No.25 9.2660 9.7980 19.6332 20
    No.26 9.2350 9.7980 19.5281 20
    No.27 9.1467 9.7980 19.4616 20
    No.28 9.1884 9.7980 19.5522 20
    No.29 9.2049 9.7980 19.5364 20
    No.30 9.0474 9.7980 19.1235 20
    No.31 9.4462 9.7980 20 20
    No.32 9.0325 9.7980 19.3143 20
    No.33 9.0301 9.7980 19.2240 20
    No.34 9.0047 9.7980 19.1492 20
    No.35 8.8422 9.7980 18.7149 20
    No.36 9.0652 9.7980 19.3759 20
    No.37 8.9237 9.7980 18.9375 20
    No.38 9.0735 9.7980 19.3203 20
    No.39 8.9678 9.7980 19.0391 20
    No.40 8.3530 8.888194 17.8639 18.18182
    No.41 8.2145 8.888194 17.5985 18.18182
    No.42 8.2450 8.888194 17.7460 18.18182
    No.43 8.1124 8.888194 17.3128 18.18182
    No.44 7.8310 8 16.5887 16.4
    No.45 7.6196 8 16.1652 16.4
    No.46 7.6779 8 16.3062 16.4
    No.47 7.5826 8 16.0352 16.4
    No.48 7.4816 8 15.9748 16.4
    No.49 7.5284 8 16.0698 16.4
    No.50 7.5528 8 16.0487 16.4
    No.51 7.3589 8 15.5484 16.4
    No.52 7.3507 8 15.8151 16.4
    No.53 7.3171 8 15.6034 16.4
    No.54 7.1207 8 15.0772 16.4
    No.55 7.3840 8 15.8721 16.4
    No.56 7.2137 8 15.3351 16.4
    No.57 7.3968 8 15.7967 16.4
    No.58 7.2647 8 15.4474 16.4
    No.59 6.7573 7.1414 14.4721 14.6667
    No.60 6.5955 7.1414 14.1578 14.6667
    No.61 6.6235 7.1414 14.3246 14.6667
    No.62 6.4681 7.1414 13.8041 14.6667
    No.63 6.2170 6.3246 13.1789 13
    No.64 5.9612 6.3246 12.6769 13
    No.65 6.0322 6.3246 12.8381 13
    No.66 5.9150 6.3246 12.5052 13
    No.67 5.7980 6.3246 12.4641 13
    No.68 5.8503 6.3246 12.5601 13
    No.69 5.6362 6.3246 11.8807 13

     | Show Table
    DownLoad: CSV

    From Table 7, all graphs in NP2 satisfy μ(G)<n28n+31, a contradiction. The proof is complete.

    Theorem 3.3 Let G be a connected graph with n(n5) vertices and minimum degree δ(G)3. If

    q(G)24n1+(2n8), (3.4)

    then G is a pancyclic graph or a bipartite graph or 7K1K6 or 6K1K5 or 5K1K4.

    Proof: Suppose that G is neither a pancyclic graph nor a bipartite graph. Because a complete graph is a pancyclic graph and δ(K1,n1)=1, then G cannot be a complete graph or K1,n1. In such a situation, the equation in Lemma 2.3 is invalid. By Lemma 2.3, 24n1+2n8q(G)<2mn1+n2, i.e., m>(n32)+9.

    By Theorem 3.1, G is a pancyclic graph or a bipartite graph or GNP1. It can be calculated that the graphs of (3K1+Kn6)K3, (4K1+K3)K4, (6K1+K2)K6, 9K1K8 satisfy m=(n32)+9, which is contradiction. Next, we will study whether the graphs of No.19-69 satisfy the signless Laplacian spectral radius condition in the Theorem 3.3. Note that GNP2.

    Take (2K1K4)7K1 as an example:

    Let X=(X1,X2,,X13)T be the eigenvector corresponding to μ(G), where Xi(1i2) corresponds to the vertex of degree 11, Xi(3i6) corresponds to the vertex of degree 12 and Xi(7i13) corresponds to the vertex of degree 6. By eigen-equation (2.2), then we have

    {X1=X2,X3=X4=X5=X6,X7=X8=X9=X10=X11=X12=X13(q(G)11)X1=4X3+7X7(q(G)12)X3=2X1+3X3+7X7(q(G)6)X7=2X1+4X3

    Transform the above equations into the matrix equation (Q(G)q(G)I)X=0, where X=(X1,X3,X7)T and

    Q(G)=(11472157246).

    Let f(x)=|xIQ(G)|=x332x2+271x536, then the maximum root of g(x)=0 is q(G)=19.528. It can be calculated that q(G)<24131+2×138, which is contradiction. The remaining graphs are studied in the same way, and the results are shown in Table 7.

    From Table7, all graphs in NP2 except G=7K1K6 and G=6K1K5 and G=5K1K4 satisfy q(G)<24n1+2n8, a contradiction.

    The proof is complete.

    This work is supported by the Natural Science Foundation of China(11871077), the NSF of Anhui Province(1808085MA04), the NSF of Department of Education of Anhui Province(KJ2017A362), and the NSF of Anhui Province(KJ2018A0964), the Deanship of Scientific Research (DSR) at King Abdulaziz University under grant no (RG-19-135-38), the 2019 Teaching and research project of Hefei Preschool Education College (hyzzd2019003).

    The author declare that he has no competing interest.

    Table  .  The maximum length cycle L(G) of G.
    No. G Order L(G) e(G) (n1)24+1
    1 (3K1+Kn6)K3 n Cn1 n27n+302 (n1)24+1
    2 (4K1+K3)K4 11 C10 37 26
    3 (6K1+K2)K6 14 C13 64 43.25
    4 9K1K8 17 C16 100 65
    5 K6(K2+K1,6) 15 C15 76 50
    6 K6(2K2+K1,4) 15 C15 75 50
    7 (K1+K1,5+K2)K6 15 C15 75 50
    8 (2K2+K1,3)K5 13 C13 55 37
    9 4K2K5 13 C13 54 37
    10 (K1+K1,2+2K2)K5 13 C13 54 37
    11 K4(K24K1+K3) 13 C13 54 37
    12 K32K1(K1,3+2K2) 13 C13 54 37
    13 K4(K25K1+K2) 13 C13 54 37
    14 K4(K1,2+2K2) 11 C11 38 26
    15 (K1+3K2)K4 11 C11 37 26
    16 (K1,2+2K2)2K1K2 11 C11 37 26
    17 K3(K1(2K1+K2)+K2) 10 C10 30 21.25
    18 3K2K3 9 C9 24 17
    19 8K1K7 15 C14 77 50
    20 (K1+K1,7)K6 15 C14 76 50
    21 K2,8K5 15 C14 76 50
    22 K6(2K1+K1,6) 15 C14 75 50
    23 K42K1(K2+K1,6) 15 C11 75 50
    24 K5(K1+K1,6) 13 C11 56 37
    25 (K2+K1,5)K5 13 C12 56 37
    26 (2K1K4)7K1 13 C12 56 37
    27 (K1+K2+K1,4)K5 13 C12 55 37
    28 (2K1+K1,5)K5 13 C11 55 37
    29 (K1+K26K1)K4 13 C11 54 37
    30 (K1,5+K2)2K1K3 13 C12 55 37
    31 7K1K6 13 C12 57 37
    32 K5(2K1+K1,3+K2) 13 C12 54 37
    33 K4[K1+K1(K1,4+K2)] 13 C12 54 37
    34 K4(K1+2K16K1) 13 C12 54 37
    35 K3K3,7 13 C12 54 37
    36 K5(3K1+K1,4) 13 C11 54 37
    37 K32K1(K1+K1,4+K2) 13 C12 54 37
    38 K4[K1(K1+K1,5)+K1] 13 C11 54 37
    39 K32K1(2K1+K1,5) 13 C11 54 37
    40 (5K1+K2)K5 12 C11 46 31.25
    41 K4(K1(4K1+K2)+K1) 12 C11 45 31.25
    42 7K1K5 12 C10 45 31.25
    43 (5K1+K2)2K1K3 12 C11 45 31.25
    44 6K1K5 11 C10 40 26
    45 K4(K1,4+K2) 11 C10 39 26
    46 K4(K1+K1,5) 11 C10 39 26
    47 K3K2,6 11 C10 39 26
    48 K4(K1+K1,3+K2) 11 C10 38 26
    49 K4(2K1+K1,4) 11 C9 38 26
    50 K3[(K25K1)+K1] 11 C10 38 26
    51 K22K1(K1,4+K2) 11 C10 38 26
    52 K4(K2+K1,2+2K1) 11 C10 37 26
    53 K3(K1+K2,5) 11 C10 37 26
    54 K2K3,6 11 C10 37 26
    55 K4(K1,3+3K1) 11 C9 37 26
    56 K22K1(K1+K1,3+K2) 11 C10 37 26
    57 [K1(K1,4+K1)+K1]K3 11 C9 37 26
    58 K22K1(2K1+K1,4) 11 C9 37 26
    59 (4K1+K2)K4 10 C9 31 21.25
    60 K3[K1+K1(3K1+K2)] 10 C9 30 21.25
    61 6K1K4 10 C8 30 21.25
    62 (4K1+K2)2K1K2 10 C9 30 21.25
    63 5K1K4 9 C8 26 17
    64 (K1,3+K2)K3 9 C8 25 17
    65 (K1+K1,4)K3 9 C7 25 17
    66 5K12K1K2 9 C8 25 17
    67 (K1+K1,2+K2)K3 9 C8 24 17
    68 (2K1+K1,3)K3 9 C7 24 17
    69 (K1,3+K2)2K1K1 10 C8 24 17

     | Show Table
    DownLoad: CSV


    [1] M. Fiedler, V. Nikiforov, Spectral radius and Hamiltonicity of graphs, Linear Algebra Appl., 432 (2010), 2170-2173. doi: 10.1016/j.laa.2009.01.005
    [2] G. D. Yu, Y. Z. Fan, Spectral conditions for a graph to be hamilton-connected, Appl. Mech. Mater., 336-338 (2013), 2329-2334.
    [3] M. Lu, H. Q. Liu, F. Tian, Spectral Radius and Hamiltonion graphs, Linear Algebra Appl., 437 (2012), 1670-1674. doi: 10.1016/j.laa.2012.05.021
    [4] Y. Z. Fan, G. D. Yu. Spectral Condition for a Graph to be Hamiltonian with respect to Normalized Laplacian, Mathematics, 2012.
    [5] L. H. Feng, P. L. Zhang, H. Liu, et al. Spectral conditions for some graphical properties, Linear Algebra Appl., 524 (2017), 182-198. doi: 10.1016/j.laa.2017.03.006
    [6] B. L. Li, B. Ning, Spectral analogues of Erdos' and Moon-Moser's theorems on Hamilton cycles, Linear Multilinear Algebra, 64 (2016), 2252-2269. doi: 10.1080/03081087.2016.1151854
    [7] R. F. Liu, W. C. Shiu, J. Xue, Sufficient spectral conditions on Hamiltonian and traceable graphs, Linear Algebra Appl., 467 (2015), 254-266. doi: 10.1016/j.laa.2014.11.017
    [8] V. Nikiforov, Spectral radius and Hamiltonicity of graphs with large minimum degree, Czechoslovak Math. J., 66 (2016), 925-940. doi: 10.1007/s10587-016-0301-y
    [9] G. D. Yu, G. X. Cai, M. L. Ye, et al. Energy conditions for Hamiltonicity of graphs, Discrete Dyn. Nature Soc., 53-56 (2014), 1-6.
    [10] Q. N. Zhou, L. G. Wang, Y. Lu, Some sufficient conditions on hamiltonian and traceable graphs, Advances in Mathematics, 47 (2018), 31-40.
    [11] G. D. Yu, T. Yu, A. X. Shu, et al. Some Sufficient Conditions on Pancyclic Graphs, Inf. Process. Lett., 2018.
    [12] E. F. Schmeichel, S. L. Hakimi, Pancyclic graphs and a conjecture of Bondy and Chvatal, J. Comb. Theory, 17 (1974), 22-34. doi: 10.1016/0095-8956(74)90043-4
    [13] H. Yuan. A bound on the spectral radius of graphs, Linear Algebra and Its Applications, 108 (1988), 135-139.
    [14] G. D. Yu, Y. Z. Fan, Spectral Conditions for a Graph to be Hamilton-Connected, Applied Mech. Mater., 336-338 (2013), 2329-2334.
    [15] J. A. Bondy, A. W. Ingleton, Pancyclic graphs I, J. Comb. Theory, 11 (1971), 80-84. doi: 10.1016/0095-8956(71)90016-5
    [16] R. Haggkvist, R. J. Faudree, R. H. Schelp, Pancyclic graphs Dconnected Ramsey number, Ars Comb.-Waterloo Winnipeg, 11 (1981), 37-49.
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