Research article

On the sum of powers of the Aα-eigenvalues of graphs

  • Received: 05 November 2021 Revised: 04 March 2022 Accepted: 03 April 2022 Published: 27 June 2022
  • Let A(G) and D(G) be the adjacency matrix and the degree diagonal matrix of a graph G, respectively. For any real number α[0,1], Nikiforov recently defined the Aα-matrix of G as Aα(G)=αD(G)+(1α)A(G). The graph invariant Spα(G) is the sum of the p-th power of the Aα-eigenvalues of G for 12<α<1, which has a close relation to the α-Estrada index. In this paper, we establish some bounds on Spα(G) and characterize the extremal graphs. In particular, we present some bounds on Spα(G) in terms of the degree sequences, order and size of G by using majorization techniques. Moreover, we give lower and upper bounds for Spα(G) of a bipartite graph and characterize the extremal graphs.

    Citation: Zhen Lin. On the sum of powers of the Aα-eigenvalues of graphs[J]. Mathematical Modelling and Control, 2022, 2(2): 55-64. doi: 10.3934/mmc.2022007

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  • Let A(G) and D(G) be the adjacency matrix and the degree diagonal matrix of a graph G, respectively. For any real number α[0,1], Nikiforov recently defined the Aα-matrix of G as Aα(G)=αD(G)+(1α)A(G). The graph invariant Spα(G) is the sum of the p-th power of the Aα-eigenvalues of G for 12<α<1, which has a close relation to the α-Estrada index. In this paper, we establish some bounds on Spα(G) and characterize the extremal graphs. In particular, we present some bounds on Spα(G) in terms of the degree sequences, order and size of G by using majorization techniques. Moreover, we give lower and upper bounds for Spα(G) of a bipartite graph and characterize the extremal graphs.



    Let G be a simple finite undirected connected graph with vertex set V(G) and edge set E(G), where |V(G)| is the order and |E(G)| is the size of G. Let A(G) and D(G) be the adjacency matrix and the degree diagonal matrix of a graph G, respectively. Then L(G)=D(G)A(G), Q(G)=D(G)+A(G) and L(G)=D12(G)L(G)D12(G) are called the Laplacian matrix, the signless Laplacian matrix and the normalized Laplacian matrix of the graph G, respectively.

    The investigation on the sum of the p-th power of the eigenvalues of graphs is a topic of interest in Mathematical Chemistry. Based on the mathematical methods, scholars get many bounds for the sum of the p-th power of the eigenvalues of graphs. For a non-zero real number p, Zhou [1] introduced the sum of the p-th power of the non-zero Laplacian eigenvalues of G, denoted by SpL(G). Since SpL(G) has close relation with the Laplacian-energy-like invariant [2], the Laplacian Estrada index [3] and the Kirhhoff index [4], there are considerable results regarding SpL(G) in the literature. For related results, one may refer to [1,5,6,7,8,9] and references therein. For a non-zero real number p, M. Liu and B. Liu [10] defined SpQ(G) as the sum of the p-th power of the non-zero signless Laplacian eigenvalues of G, which has close relation with the incidence energy [11] and the signless Laplacian Estrada index [12]. For details on SpQ(G), see the papers [13,14] and the references cited therein. Moreover, Akbari et al. [15,16] compared between SpL(G) and SpQ(G) when the parameter p takes different values. For a non-zero real number p, Ş.B. Bozkurt and D. Bozkurt [17] defined SpL(G) as the sum of the p-th power of the normalized Laplacian eigenvalues of G, which has close relation with the degree-Kirchhoff index [18] and the general Randić index [19]. For related results, one may refer to [20,21].

    For any real number α[0,1], Nikiforov [22] defined the Aα-matrix of G as

    Aα(G)=αD(G)+(1α)A(G).

    It is easy to see that Aα(G) is the adjacency matrix A(G) if α=0, and Aα(G) is essentially equivalent to signless Laplacian matrix Q(G) if α=12. The new matrix Aα(G) not only can underpin a unified theory of A(G) and Q(G), but it also brings many new interesting problems, see for example [22,23,24,25]. In particular, Aα(G) is a positive definite matrix for 12<α<1, which is a hitherto uncharted territory of worth our investigation and exploration, see [22]. Moreover, X. Liu and S. Liu [26] found that Aα-eigenvalues (especially, 12<α<1) are much more efficient than A-eigenvalues and Q-eigenvalues when we use them to distinguish graphs, by enumerating the Aα-characteristic polynomials for all graphs on at most ten vertices. The Aα-matrix has been an interesting topic in mathematical literature and has been studied extensively, see for example [22,23,27,28,29,30] and references therein.

    Let λ1(Aα(G))λ2(Aα(G))λn(Aα(G)) be the Aα-eigenvalues of a graph G of order n. Motivated by the above work, we define Spα(G) as the sum of the p-th power of the Aα-eigenvalues of G, that is,

    Spα(G)=ni=1λpi(Aα(G)),

    where 12<α<1 and p is a real number. Spα(G) can be regard as a generalization of SpQ(G) due to the fact that our results are correct for the sum of the p-th power of the non-zero A12-eigenvalues of G. By using the Maclaurin development, we have

    Eα(G)=ni=1eλi(Aα(G))=p=0Spα(G)p!,

    where p is an integer and Eα(G) is called the α-Estrada index defined by Cardoso et al. [31]. Thus the bound for Spα(G) can be naturally converted to the bound of the α-Estrada index. In addition, we find that Spα(G) is connected with the first general Zagreb index, which is a useful topological index and has important applications in chemistry.

    The primary purpose of this paper is to establish the bounds of Spα(G). The cases p=0 and p=1 are trivial as S0α(G)=n and S1α(G)=2αm, where m is the size of G. We will not consider both cases in the following results. The rest of the paper is organized as follows. In Section 2, we recall some useful notions and lemmas used further. In Section 3, some bounds on the Spα(G) are presented. In Sections 4 and 5, several bounds for Spα(G) related to degree sequences, order and size are given through majorization techniques. In Section 6, lower and upper bounds for Spα(G) of a bipartite graph G are obtained, and the extremal graphs characterized.

    Let Ge denote the graph that arises from G by deleting the edge eE(G). A connected graph is called a c-cyclic graph if it contains n vertices and n+c1 edges. For viV(G), dG(vi)=di(G) denotes the degree of vertex vi in G. The minimum and the maximum degree of G are denoted by δ=δ(G) and Δ=Δ(G), respectively. A pendant vertex is a vertex of degree one and a quasi-pendant vertex is a vertex adjacent to a pendant vertex. Li and Zheng [32] defined the first general Zagreb index of G as Zp=Zp(G)=vV(G)dp(v), where p is an arbitrary real number except 0 and 1. A subset I of V(G) is called an independent set of a graph G if no two vertices in I are adjacent in G. Given a graph G, the independence number θ(G) of G is the numbers of vertices of the largest independent set. Denote by Kn, Ka,b and ¯G the complete graph, the complete bipartite graph and the complement of a graph G, respectively. The join G1G2 of two vertex-disjoint graphs G1 and G2 is the graph formed from the union of G1 and G2 by joining each vertex of G1 to each vertex of G2.

    Lemma 2.1. ([33]) Let G be a graph with n vertices. If eE(G) and 12α1, thenλi(Aα(G))λi(Aα(Ge))for 1in.

    Lemma 2.2. ([34,35]) Let G be a graph of order n and size m. Then

    Z2(G)4m2n+12(Δδ)2

    with equality if and only if G has the property d2=d3==dn1=Δ+δ2, which includes also the regular graphs.

    Lemma 2.3. ([36]) Let s1,s2,,sn be the singular values of a matrix M=(mij)Mn. Then

    nj=1spjni,j=1|mij|pfor0<p2,nj=1spjni,j=1|mij|pforp2.

    Lemma 2.4. ([37]) For c-cyclic graphs with n vertices, the minimal degree sequences with respect to the majorization order are given by (2,2,,2,1,1), in case c=0 and n>2, (2,2,,2), in case c=1 and n>2, (3,3,,32c2,2,2,,2), in case 2c6 and n>2c2.

    Lemma 2.5. ([38]) Let a(G), b(G) and mG(α) be the number of pendant vertices, quasi-pendant vertices of G and the multiplicity of α as an eigenvalue of Aα(G), respectively. ThenmG(α)a(G)b(G)with equality if each internal vertex is a quasi-pendant vertex.

    Lemma 2.6. ([39]) Let G be a graph of order n and size m. If α(12,1), then

    λ1(Aα(G))2mn1(1α)+αn1,

    the equality holds if and only if GKn.

    Theorem 3.1. Let 12<α<1, G be a connected graph with n vertices and eE(G).

    (i) If p>0 and p1, thenSpα(Ge)<Spα(G).

    (ii) If p<0, thenSpα(Ge)>Spα(G).

    Proof. By Perron-Frobenius Theorem, we have λ1(Aα(G))>λ1(Aα(Ge)). By Lemma 2.1, the result follows.

    Corollary 3.1. Let 12<α<1, G be a connected graph of order n.

    (i) If p>0 and p1, then

    Spα(G)(n1)p+(n1)(αn1)p

    with equality if and only if GKn.

    (ii) If p<0, then

    Spα(G)(n1)p+(n1)(αn1)p

    with equality if and only if GKn.

    Proof. From Proposition 36 in [22], it follows that λ1(Aα(Kn))=n1 and λi(Aα(Kn))=αn1 for 2in. By Theorem 3.1, we have the proof.

    Corollary 3.2. Let 12<α<1, G be a connected graph of order n with independence number θ.

    (i) If p>0 and p1, then

    Spα(G)(nθ1)(αn1)p+(θ1)(nθ)pαp+xp1+xp2,

    where x1 and x2 are the roots of the equation

    x2(αn+nθ1)x+αθ+αn2αnαθ2θn+θ2=0

    and equality holds if and only if G¯KθKnθ.

    (ii) If p<0, then

    Spα(G)(nθ1)(αn1)p+(θ1)(nθ)pαp+xp1+xp2,

    where x1 and x2 are the roots of the equation

    x2(αn+nθ1)x+αθ+αn2αnαθ2θn+θ2=0

    and equality holds if and only if G¯KθKnθ.

    Proof. Let ϕα(G,x) be the characteristic polynomial of Aα(G). By direct computation, we have

    ϕα(¯KθKnθ,x)=(xαn+1)nθ1[x(nθ)α]θ1[x2(αn+nθ1)x+αθ+αn2αnαθ2θn+θ2].

    Thus

    Spα(¯KθKnθ)=(nθ1)(αn1)p+(θ1)(nθ)pαp+xp1+xp2,

    where x1 and x2 are the roots of the equation x2(αn+nθ1)x+αθ+αn2αnαθ2θn+θ2=0. By Theorem 3.1, we have the proof.

    Theorem 3.2. Let G be a connected graph of order n and size m. If 12<α<1 and p0 and p1, then

    Spα(G)(2mn)p+(n1)(ndet(Aα(G))2m)pn1 (3.1)

    with equality if and only if GKn.

    Proof. By the arithmetic-geometric mean inequality, we have

    Spα(G)=λp1(Aα(G))+ni=2λpi(Aα(G))λp1(Aα(G))+(n1)(ni=2λi(Aα(G)))pn1=λp1(Aα(G))+(n1)(det(Aα(G))λ1(Aα(G)))pn1.

    Let h(x)=xp+(n1)(det(Aα(G))x)pn1. Then h(x)=p(xp1det(Aα(G))pn1xpn11). It is easy to see that h(x) is increasing on [det(Aα(G))1n,+) whether p>0 or p<0. From Corollary 19 in [22], it follows that

    λ1(Aα(G))2mn>2αmn=ni=1λi(Aα(G))n(ni=1λi(Aα(G)))1n=det(Aα(G))1n.

    Thus

    Spα(G)h(λ1(Aα(G)))h(2mn)=(2mn)p+(n1)(ndet(Aα(G))2m)pn1

    with equality if and only if λ1(Aα(G))=2mn and λ2(Aα(G))==λn(Aα(G)). From Corollary 33 in [22], the diameter of G is 1. Thus, GKn. Conversely, if GKn, then λ1(Aα(G))=n1, and λi(Aα(G))=αn1 for 2in. It is easy to check that equality holds in (3.1). This completes the proof.

    Theorem 3.3. Let 12<α<1, G be a connected graph of order n and size m.

    (i) If p<0 or p>1, then

    Spα(G)(Z2n)p2+1(n1)p1(2αmZ2n)p (3.2)

    with equality if and only if GKn.

    (ii) If 0<p<1, then

    Spα(G)(Z2n)p2+1(n1)p1(2αmZ2n)p (3.3)

    with equality if and only if GKn.

    Proof. Since p<0 or p>1, we know that f(x)=xp is a strictly convex function. By Jensen's inequality, we have

    (ni=21n1λi(Aα(G)))pni=21n1λpi(Aα(G)),

    that is,

    ni=2λpi(Aα(G))1(n1)p1(2αmλ1(Aα(G)))p.

    Thus

    Spα(G)=λp1(Aα(G))+ni=2λpi(Aα(G))λp1(Aα(G))+1(n1)p1(2αmλ1(Aα(G)))p.

    Let g(x)=xp+1(n1)p1(2αmx)p. Then g(x)=p(xp1(2αmx)p1(n1)p1)0 for x2αmn. Hence g(x) is increasing on [2αmn,+). From Lemma 2.2 and Corollary 19 in [22], it follows that λ1(Aα(G))Z2n2αmn. Thus

    Spα(G)g(λ1(Aα(G)))g(Z2n)=(Z2n)p2+1(n1)p1(2αmZ2n)p

    with equality if and only if λ1(Aα(G))=Z2n and λ2(Aα(G))==λn(Aα(G)). From Corollary 33 in [22], the diameter of G is 1. Thus, GKn. Conversely, if GKn, then λ1(Aα(G))=n1, and λi(Aα(G))=αn1 for 2in. It is easy to check that equality holds in (3.2).

    Now suppose that 0<p<1. Then

    (ni=21n1λi(Aα(G)))pni=21n1λpi(Aα(G)),

    with equality if and only if λ2(Aα(G))==λn(Aα(G)), and g(x) is decreasing on [2αmn,+). By similar arguments as above, the second part of the theorem follows.

    Combining the above arguments, we have the proof.

    By Lemma 2.2 and Theorem 3.3, we have

    Corollary 3.3. Let 12<α<1, G be a connected graph of order n and size m.

    (i) If p<0 or p>1, then

    Spα(G)(4m2n2+12n(Δδ)2)p2+1(n1)p1(2αm4m2n2+12n(Δδ)2)p

    with equality if and only if GKn.

    (ii) If 0<p<1, then

    Spα(G)(4m2n2+12n(Δδ)2)p2+1(n1)p1(2αm4m2n2+12n(Δδ)2)p

    with equality if and only if GKn.

    Theorem 3.4. Let 12<α<1, G be a connected graph of order n and size m.

    (i) If 0<p2, thenSpα(G)αpZp+2m(1α)p.

    (ii) If p>2, thenSpα(G)αpZp+2m(1α)p.

    Proof. Since Aα(G) is a real symmetric and positive definite matrix for 12<α<1, the singular values of Aα(G) are equal to the eigenvalues of Aα(G). By Lemma 2.3, we have the proof.

    Suppose x=(x1,x2,,xn) and y=(y1,y2,,yn) are two non-increasing sequences of real numbers, we say x is majorized by y, denoted by xy, if ni=1xi=ni=1yi and ji=1xiji=1yi for j=1,2,,n1. For a real-valued function f defined on a set in Rn, if f(x)f(y) whenever xy but xy, then f is said to be Schur-convex.

    Theorem 4.1. Let 12<α<1, G be a connected graph of order n and size m with the degree sequence d1d2dn.

    (i) If p<0 or p>1, then

    (2αm)pnp1αpZp(G)Spα(G).

    (ii) If 0<p<1, then

    Spα(G)αpZp(G)(2αm)pnp1.

    Proof. Let x=2αmn(1,,1), y=(αd1,,αdn) and z=(λ1(Aα(G)),,λn(Aα(G))). It is well known that the spectrum of any symmetric, positive semi-definite matrix majorizes its main diagonal [40], hence xyz. Since p<0 or p>1, f(x)=xp is a convex function. From [41], we know that if the real-valued function f defined on an interval in R is a convex then ni=1f(xi) is Schur-convex. Thus (2αm)pnp1ni=1αpdpiSpα(G).

    If 0<p<1, then g(x)=xp is a convex function. By similar arguments as above, the second part of the theorem follows.

    By Lemma 2.4 and Theorem 4.1, we have

    Corollary 4.1. Let 12<α<1, 0c6 and G be a c-cyclic graph with n vertices.

    (i) If p<0 or p>1, c=0 and n>2, then

    Spα(G)(n2)(2α)p+2αp.

    If p<0 or p>1, c=1 and n>2, then

    Spα(G)n(2α)p.

    If p<0 or p>1, 2c6 and n>2c2, then

    Spα(G)αp((2c2)3p+(n2c+2)2p).

    (ii) If 0<p<1, c=0 and n>2, then

    Spα(G)(n2)(2α)p+2αp.

    If 0<p<1, c=1 and n>2, thenSpα(G)n(2α)p.

    If 0<p<1, 2c6 and n>2c2, then

    Spα(G)αp((2c2)3p+(n2c+2)2p).

    Theorem 4.2. Let 12<α<1, G be a connected graph of order n and size m with the degree sequence d1d2dn=δ.

    (i) If p<0 or p>1, then

    Spα(G)n1i=1(αdi+(1α)(ni))p+12p(2αδ(1α)n(n1))p.

    (ii) If 0<p<1, then

    Spα(G)n1i=1(αdi+(1α)(ni))p+12p(2αδ(1α)n(n1))p.

    Proof. Let x=(λ1(Aα(G)),λ2(Aα(G)),,λn(Aα(G))) and y=(αd1+(1α)(n1),αd2+(1α)(n2),,αdn1+(1α),2αmα(2mδ)(1α)n(n1)2). From Theorem 3.1 in [28], it follows that λi(Aα(G))αdi+(1α)(ni) for 1in. Thus xy. Similar to the method used in Theorem 4.1, we have the proof.

    Theorem 4.3. Let 12<α<1, G be a connected graph of order n and size m with the degree sequence Δ=d1d2dn.

    (i) If p<0 or p>1 and d2d3dkαn1, then

    Spα(G)Δp+(k1)(αn1)p
    +[2αmΔ(k1)(αn1)]p, (4.1)

    where 2kn.If p<0 or p>1 and d2αn1, then

    Spα(G)ki=1dpi+(2αmki=1di)p,

    where 2kn.

    (ii) If 0<p<1 and d2d3dkαn1, then

    Spα(G)Δp+(k1)(αn1)p
    +[2αmΔ(k1)(αn1)]p, (4.2)

    where 2kn.If 0<p<1 and d2αn1, then

    Spα(G)ki=1dpi+(2αmki=1di)p,

    where 2kn.

    Proof. Let x=(λ1(Aα(G)),λ2(Aα(G)),,λn(Aα(G))) and y=(d1,αn1,,αn1,2αmd1(k1)(αn1),0,,0). From Proposition 10 in [22], it follows that λ1(Aα(G))d1. By Lemma 2.1, we have λi(Aα(G))λi(Aα(Kn))=αn1 for 2in. Thus xy. Similar to the method used in Theorem 4.1, we have the proof.

    Remark 4.1. It is easy to see that the equality in (4.1) and (4.2) holds if GKn.

    Theorem 4.4. Let 12<α<1, G be a connected graph of order n and size m with the degree sequence Δ=d1d2dn.

    (i) If p<0 or p>1 and n1>d1d2d3dkα(n2), then

    Spα(G)Δp+αp(k1)(n2)p+(2αmΔα(k1)(n2))p,

    where 2kn.If p<0 or p>1, d1<n1 and d2α(n2), then

    Spα(G)ki=1dpi+(2αmki=1di)p,

    where 2kn.

    (ii) If 0<p<1 and

    n1>d1d2d3dkα(n2),

    then

    Spα(G)Δp+αp(k1)(n2)p+(2αmΔα(k1)(n2))p,

    where 2kn.If 0<p<1, d1<n1 and d2α(n2), then

    Spα(G)ki=1dpi+(2αmki=1di)p,

    where 2kn.

    Proof. Let x=(λ1(Aα(G)),λ2(Aα(G)),,λn(Aα(G))) and y=(d1,α(n2),,α(n2),2αmd1α(k1)(n2),0,,0). From Proposition 10 in [22] and Theorem 3.1 in [27], it follows that λ1(Aα(G))d1 and λi(Aα(G))α(n2) for 2in. Thus xy. Similar to the method used in Theorem 4.1, we have the proof.

    Theorem 4.5. Let 12<α<1, G be a connected graph of order n and size m with the degree sequence Δ=d1d2dn.

    (i) If p<0 or p>1 and mG(λj) is the multiplicity of λj as an eigenvalue of Aα(G), then

    Spα(G)Δp+ki=2dpi+mG(λj)λpj+(2αmΔki=2dimG(λj)λj)p,

    where 2kjn.

    (ii) If 0<p<1 and mG(λj) is the multiplicity of λj as an eigenvalue of Aα(G), then

    Spα(G)Δp+ki=2dpi+mG(λj)λpj+(2αmΔki=2dimG(λj)λj)p,

    where 2kjn.

    Proof. Let x=(λ1(Aα(G)),,λn(Aα(G))) and y=(d1,d2,,dk,λj,,λj,2αmd1ki=2dkmG(λj)λj,0,,0). From Proposition 10 in [22], it follows that λi(Aα(G))di for 1in. Then xy. Similar to the method used in Theorem 4.1, we have the proof.

    By Lemma 2.5 and Theorem 4.5, we have

    Corollary 4.2. Let 12<α<1, G be a connected graph of order n and size m with the degree sequence Δ=d1d2dn, and let a and b be the number of pendant vertices and quasi-pendant vertices of G, respectively.

    (i) If p<0 or p>1 and ab1, then

    Spα(G)Δp+na+b1i=2dpi+(ab)αp+(2αmΔna+b1i=2di(ab)α)p.

    (ii) If 0<p<1 and ab1, then

    Spα(G)Δp+na+b1i=2dpi+(ab)αp+(2αmΔna+b1i=2di(ab)α)p.

    Theorem 5.1. Let 12<α<1, G be a connected graph of order n and size m.

    (i) If p<0 or p>1 and there is c such that λ1(Aα(G))c>0, then

    Spα(G)cp+(2αmc)p(n1)p1.

    (ii) If 0<p<1 and there is c such that λ1(Aα(G))c>0, then

    Spα(G)cp+(2αmc)p(n1)p1.

    Proof. Let x=(c,2αmcn1,,2αmcn1) and

    y=(λ1(Aα(G)),λ2(Aα(G)),,λn(Aα(G))).

    Since λ1(Aα(G))c>0, we have xy. Similar to the method used in Theorem 4.1, we have the proof.

    Corollary 5.1. Let 12<α<1, G be a connected graph of order n and size m.

    (i) If p<0 or p>1, then

    Spα(G)1αp(α2Δ+(1α)2)p
    +(2α2mα2Δ(1α)2)pαp(n1)p1. (5.1)

    (ii) If 0<p<1, then

    Spα(G)1αp(α2Δ+(1α)2)p
    +(2α2mα2Δ(1α)2)pαp(n1)p1. (5.2)

    Proof. From Corollary 13 in [22], it follows that

    λ1(Aα(G))αΔ+(1α)2α.

    By Theorem 5.1, we have the proof.

    Corollary 5.2. Let 12<α<1, G be a connected graph of order n and size m.

    (i) If p<0 or p>1, then

    Spα(G)(2mn)p(1+(αn1)p(n1)p1).

    (ii) If 0<p<1, then

    Spα(G)(2mn)p(1+(αn1)p(n1)p1).

    Proof. From Corollary 19 in [22], it follows that

    λ1(Aα(G))2mn.

    By Theorem 5.1, we have the proof.

    Remark 5.1. It is easy to see that the equality in Corollary 5.2 holds if GKn.

    Corollary 5.3. Let 12<α<1, G be a connected graph of order n and size m with chromatic number χ.

    (i) If p<0 or p>1, then

    Spα(G)(χ1)p+(2αmχ+1)p(n1)p1. (5.3)

    (ii) If 0<p<1, then

    Spα(G)(χ1)p+(2αmχ+1)p(n1)p1. (5.4)

    The equality holds in (5.3) and (5.4) if and only if GKn.

    Proof. It is well known that λ1(A(G))χ1 with equality if and only if G is a complete graph or an odd cycle, see [42]. From Proposition 18 in [22], it follows that

    λ1(Aα(G))λ1(A(G))χ1

    with equality if and only if G is a complete graph or an odd cycle. By Theorem 5.1, we have the proof.

    Theorem 5.2. Let 12<α<1, G be a connected graph of order n and size m.

    (i) If p<0 or p>1, then

    Spα(G)(2(1α)mn1+αn1)p+(n2)(αn1)p
    +(2αm2(1α)mn1(n1)(αn1))p. (5.5)

    (ii) If 0<p<1, then

    Spα(G)(2(1α)mn1+αn1)p+(n2)(αn1)p
    +(2αm2(1α)mn1(n1)(αn1))p. (5.6)

    The equality holds in (5.5) and (5.6) if and only if GKn.

    Proof. Let x=(λ1(Aα(G)),,λn(Aα(G))) and y=(2mn1(1α)+αn1,αn1,,αn1,2αm2mn1(1α)(n1)(αn1)). By Lemmas 2.1 and 2.6, we have

    λ1(Aα(G))2mn1(1α)+αn1

    and

    λi(Aα(G))λi(Aα(Kn))=αn1

    for 2in. Thus xy. Similar to the method used in Theorem 4.1, we have the proof.

    Theorem 6.1. Let 12<α<1, G be a connected bipartite graph with n vertices.

    (i) If p>1, then Spα(G)Spα(K1,n1) with equality if and only if GK1,n1.

    (ii) If 0<p<1, then Spα(G)Spα(Kn/2,n/2) with equality if and only if GKn/2,n/2.

    (iii) If p<0, then Spα(G)Spα(Kn/2,n/2) with equality if and only if GKn/2,n/2.

    Proof. Let G=(X,Y) be a connected bipartite graph on n vertices and suppose that |X|=a, |Y|=b and ab1, where a+b=n. From Proposition 38 in [22], it follows that

    Spα(Ka,b)=12p(αn+α2n2+4a(na)(12α))p+αpap+αp(na)p+12p(αnα2n2+4a(na)(12α))p.

    Let

    f(x)=12p(αn+α2n2+4x(nx)(12α))p+αpxp+αp(nx)p+12p(αnα2n2+4x(nx)(12α))p.

    Then

    f(x)=p(12α)(n2x)2p1α2n2+4x(nx)(12α)[(αn+α2n2+4x(nx)(12α))p1(αnα2n2+4x(nx)(12α))p1]+pαp(xp1(nx)p1).

    If p>1, then f(x) is decreasing for 1xn2 and increasing for n2xn1. Hence f(n/2)f(x)f(1). By Theorem 3.1, we have Spα(G)<Spα(Ka,b)Spα(K1,n1) for p>0, p1 and GKa,b.

    If 0<p<1, then f(x) is increasing for 1xn2 and decreasing for n2xn1. Hence f(1)f(x)f(n/2). By Theorem 3.1, we have Spα(G)<Spα(Ka,b)Spα(Kn/2,n/2) for p>0, p1 and GKa,b.

    If p<0, then f(x) is decreasing for 1xn2 and increasing for n2xn1. Hence f(n/2)f(x)f(1). By Theorem 3.1, we have Spα(G)>Spα(Ka,b)Spα(Kn/2,n/2) for p<0 and GKa,b.

    Combining the above arguments, we have the proof.

    The author is grateful to the anonymous referee for careful reading and valuable comments which result in an improvement of the original manuscript. This work was supported by the National Natural Science Foundation of China (No. 12071411).

    The authors declared that they have no conflicts of interest to this work.



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