Research article

Bounds and complexity results of rainbow vertex-disconnection colorings

  • Received: 19 December 2024 Revised: 23 February 2025 Accepted: 05 March 2025 Published: 18 March 2025
  • MSC : 05C15, 05C40

  • A subset YV(G) in a vertex-colored graph G is termed rainbow when vertices in Y receive distinct colors from each other. For each pair of vertices w1,w2V(G), if there exists FV(G) satisfying F rainbow and w1,w2 disconnected in GF for nonadjacent w1,w2; F+w1 or F+w2 rainbow and w1,w2 disconnected in (Gw1w2)F for adjacent w1,w2, then G is rainbow vertex-disconnected. The smallest number needed to color G so that it is rainbow vertex-disconnected is known as the rainbow vertex-disconnection number of G, or rvd(G). The RVD-Problem aims to determine whether G has a rainbow vertex-disconnection coloring with k colors given the graph G and a positive integer k. In this paper, some bounds between rvd(G) and different parameters, such as diameter, independence number, and so on, are obtained. Some results of rainbow vertex-disconnection numbers of three graph products are then obtained. Last, we demonstrate that there is a polynomial time approach that approximates rvd(G) of split graph G within a factor of n2/3. We show RVD-Problem is NP-complete for induced K1,t-free split graphs for t4 but polynomially solvable for t3.

    Citation: Yindi Weng. Bounds and complexity results of rainbow vertex-disconnection colorings[J]. AIMS Mathematics, 2025, 10(3): 5960-5970. doi: 10.3934/math.2025272

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  • A subset YV(G) in a vertex-colored graph G is termed rainbow when vertices in Y receive distinct colors from each other. For each pair of vertices w1,w2V(G), if there exists FV(G) satisfying F rainbow and w1,w2 disconnected in GF for nonadjacent w1,w2; F+w1 or F+w2 rainbow and w1,w2 disconnected in (Gw1w2)F for adjacent w1,w2, then G is rainbow vertex-disconnected. The smallest number needed to color G so that it is rainbow vertex-disconnected is known as the rainbow vertex-disconnection number of G, or rvd(G). The RVD-Problem aims to determine whether G has a rainbow vertex-disconnection coloring with k colors given the graph G and a positive integer k. In this paper, some bounds between rvd(G) and different parameters, such as diameter, independence number, and so on, are obtained. Some results of rainbow vertex-disconnection numbers of three graph products are then obtained. Last, we demonstrate that there is a polynomial time approach that approximates rvd(G) of split graph G within a factor of n2/3. We show RVD-Problem is NP-complete for induced K1,t-free split graphs for t4 but polynomially solvable for t3.



    In this paper, we consider simple, nontrivial connected and undirected graphs. Use V(G) and E(G) to respectively denote the vertex set and edge set of graph G. The notation n=|V(G)| represents the order of G. For vV(G), its open neighborhood is NG(v)={uV(G)|uvE(G)}. The degree of v is dG(v)=|NG(v)|. NG[v]=NG(v){v} is the closed neighborhood of v. The symbols δ(G) and Δ(G) represent the minimum and maximum degree of G, respectively. Let Pn be a path of order n. The k-cycle is a cycle with k vertices. Considering any two vertices u and v of G, if u is adjacent to v, for convenience, it is sometimes denoted by uv; otherwise, uv.

    Chartrand et al. [4] extended the concept of rainbow connection to rainbow disconnection. For a graph G with edge colored, RE(G), is an edge-cut if GR is not connected. Additionally, R is a u1-u2 rainbow cut if R is rainbow and u1,u2 are disconnected in GR. If there is a u1-u2 rainbow cut for any u1,u2G, then G's edge coloring is a rainbow disconnection coloring. Its rainbow disconnection number, represented by rd(G), means the minimum number of colors that are necessary.

    Based on the perspective of vertex-cut, Bai et al. [1] presented the rainbow vertex-disconnection coloring. It is applicable to frequency distribution and cargo circulation, in which different colors of the rainbow vertex-cut is used to feedback different frequencies or interception locations.

    Let w1 and w2 be two vertices of a vertex-colored graph G. FV(G) is a w1-w2 vertex-cut if w1,w2 are in distinct components of GF for w1w2 and in distinct components of (Gw1w2)F for w1w2. Then F is called rainbow if F has no two vertices with the same color. A w1-w2 rainbow vertex-cut of G, denoted by FG(w1,w2), is a w1-w2 vertex-cut F such that if w1w2, F is rainbow; if w1w2, F+w1 or F+w2 is rainbow.

    G is rainbow vertex-disconnected when it contains a w1-w2 rainbow vertex-cut for any w1,w2V(G). The corresponding vertex-coloring c is a rainbow vertex-disconnection coloring (RVD-Coloring) of G. Its required minimum number of colors is called rainbow vertex-disconnection number, represented as rvd(G). An rvd-coloring is an RVD-Coloring using rvd(G) colors.

    Furthermore, based on proper coloring and monochromatic coloring, proper (vertex-)disconnection coloring and monochromatic (vertex-)disconnection coloring were presented. For more details, refer to [2,6,9,10].

    Bai et al. [1] studied the relations between rvd(G) and connected subgraph, block, connectivity, upper connectivity, and girth, respectively. Li et al. [11] obtained δ(G)rvd(G)χi(G), where χi(G) is the minimum number of colors needed to make the open neighborhood of each vertex rainbow in a vertex-coloring of G. So what are the relations between other parameters and rvd(G)?

    Chen et al. [5] demonstrated that, even in graph G having Δ(G)=3 or being bipartite, determining if a given vertex-colored graph G is rainbow vertex-disconnected is NP-complete. Given a positive integer k and a graph G, RVD-Problem aims to determine if G has an RVD-Coloring using k colors. The current author [14] proved RVD-Problem is NP-complete for bipartite graphs and split graphs. For every ϵ>0, it is impossible to approximate the rainbow vertex-disconnection number of any bipartite graph and split graph within a factor of n13ϵ unless ZPP=NP. So in this paper, we will focus on the approximate result of split graphs and the complexity of subclasses of split graphs.

    The remainder of the paper is organized as follows. In Section 2, we investigate relations between different parameters and rvd(G), such as diameter, edge connectivity, independence number, and so on. In Section 3, rvd(G) of graph products such as Cartesian product, direct product, and lexicographic product is explored. In Section 4, the approximate result of split graph is given. We prove that for a split graph G, there exists a polynomial time algorithm that approximates rvd(G) within a factor of n2/3. We also show that RVD-Problem is NP-complete for induced K1,t-free split graphs for t4 but polynomially solvable for t3.

    In this section, we will study the relation of rainbow vertex-disconnection number with various parameters. First, we will consider the diameter.

    For w1,w2V(G), we denote the distance of w1 and w2 in G by dG(w1,w2). The maximum distance, diam(G), between every two vertices of a graph G is its diameter.

    Theorem 2.1. For a graph G with diam(G)=d, rvd(G)nd+2.

    Proof. Suppose u,vV(G) with dG(u,v)=d. The shortest path of u and v is denoted by Puv=uv1v2vd1v. For convenience, let u=v0 and v=vd. Next, define the following vertex-coloring c of graph G. For vertices in Puv, let c(vi)=r+1 where ir (mod 3). We color the remaining vertices of G using different colors 4,5,,nd+2. Let w1,w2 be any pair of vertices of G. Then NG(w1) is rainbow. For if w1 is adjacent to two vertices vp and vq (p<q) with the same color in Puv, then the path v0v1vpw1vqvq+1vd is a path between u and v that is shorter than Puv, a contradiction. So if w1w2, FG(w1,w2)=NG(w1){w2}. If w1w2, FG(w1,w2)=NG(w1). Therefore, c is an RVD-Coloring. Specifically, rvd(G)nd+2.

    The edge connectivity λ(G) of graph G is the minimum number of edges of G whose removal results in a disconnected graph.

    Theorem 2.2. Let R be the minimum edge-cut of graph G and G1,G2 be connected components of GR. Then rvd(G)max{rvd(Gi)|i[2]}+2λ(G).

    Proof. Let s=max{rvd(Gi)|i[2]} and ci be an rvd-coloring on Gi, where i[2]. Use V(R) to denote the endpoints of minimum edge-cut R. Based on ci (i[2]), we recolor V(R) using new colors s+1,s+2,,s+|V(R)|. Denote the vertex-coloring of G by c. Let w,zV(G). Assume wGp and zGq, where p,q[2]. If p=q, assuming that FGp(w,z)=Sp with the vertex-coloring cp, then FG(w,z)=SpV(R){w,z} with the vertex-coloring c. If pq, then FG(w,z)=V(R){w,z} with the vertex-coloring c. So c is an RVD-Coloring of G. Thus, rvd(G)s+|V(R)|max{rvd(Gi)|i[2]}+2λ(G).

    Lemma 2.3. [3] Every graph with average degree at least 2k, where k is a positive integer, has an induced subgraph with minimum degree at least k + 1.

    Lemma 2.4. [1] If G is a nontrivial connected graph and H is a connected subgraph of G, then rvd(H)rvd(G).

    For w1,w2V(G), if w1w2, the local connectivity κG(w1,w2) represents the smallest number of vertices to make w1,w2 disconnected. If w1w2, κG(w1,w2)=κGw1w2(w1,w2)+1. The connectivity κ(G) means the smallest number of vertices in G that, when removed, yield a trivial or disconnected graph. The upper connectivity κ+(G) satisfies κ+(G)=max{κG(w1,w2)|w1,w2V(G)}.

    Lemma 2.5. [11] For a graph G with Δ(G)=Δ, δ(G)κ+(G)rvd(G)χi(G)Δ(Δ1)+1.

    Theorem 2.6. For a graph G with order n and size m, rvd(G)mn+1.

    Proof. Suppose that the average degree of graph G is ˉd. So ˉd=2mn2mn. By Lemma 2.3, there is an induced subgraph H with δ(H)mn+1. Therefore, rvd(G)rvd(H)δ(H)mn+1 by Lemmas 2.4 and 2.5.

    For SV(G), if it contains no two adjacent vertices, S is referred to as an independent set of G. Furthermore, when there is no independent set containing more vertices than S, S is maximum. The independence number of G, indicated by α(G), is the number of vertices in a maximum independent set of G.

    Lemma 2.7. [1] Let G be a nontrivial connected graph. Then rvd(G)=1 if and only if G is a tree.

    Theorem 2.8. For a graph G of order n, rvd(G)n2α(G), and the bound is sharp.

    Proof. Suppose that rvd(G)=k. Denote the color classes of graph G by V1,V2,,Vk. Then each Vi (i[k]) induces a tree or a forest by Lemma 2.7. Assume that T1,T2,,T are the connected components of Vi. Since Tj (j[]) is bipartite, we have α(Tj)|Tj|2 (j[]). We obtain

    α(Vi)j[]|Tj|2|Vi|2.

    Since there exists Vs with |Vs|nk (s[k]), we have α(G)maxi[k]α(Vi)α(Vs)n2k. Let G=Pn. When n is odd, we have α(Pn)=n+12 and rvd(Pn)=1. When n is even, we have α(Pn)=n2 and rvd(Pn)=1. So the bound is tight.

    A vertex-coloring of G is proper if any two adjacent vertices receive different colors. The chromatic number of G is the minimum number of colors such that G has a proper coloring, denoted by χ(G). G is k-chromatic if χ(G)=k. If χ(H)<χ(G) for every proper subgraph H of G, G is critical. A graph is k-critical if it is critical and χ(G)=k.

    Lemma 2.9. [7] A k-chromatic graph contains a k-critical subgraph.

    Lemma 2.10. [7] Let G be a connected (k+1)-critical graph. Then δ(G)k.

    Lemma 2.11. [11] Let G be a connected graph of order n with minimum degree δ. If δn+22, then rvd(G)=n.

    Theorem 2.12. For a graph G of order n, if χ(G)n+42, then rvd(G)=χi(G)=n.

    Proof. Assume that χ(G)=k. There exists a k-critical subgraph H by Lemma 2.9. Then δ(G)δ(H)k1n+421=n+22 by Lemma 2.10. According to Lemma 2.11 and 2.5, rvd(G)=χi(G)=n.

    Next, we get Theorem 2.15 to show the gap of rvd(G) and χi(G) arbitrarily large.

    A block of a graph G is a maximal 2-connected subgraph of G.

    Lemma 2.13. [1] Let G be a nontrivial connected graph, and let B be a block of G such that rvd(B) is maximum among all blocks of G. Then rvd(G)=rvd(B).

    Lemma 2.14. [1] Let G=Kn1,n2,,nk be a complete k-partite graph of order n, where k2, 1n1n2nk and nk2. Then

    rvd(Kn1,n2,,nk)={n,ifk4ork=3,n3n2n12,nnk1,ifk=3,n1=1ork=2,n2n12,1,ifk=2andn1=1.

    Theorem 2.15. For any positive integers a and b with ab, there exists a connected graph such that rvd(G)=a and χi(G)=b.

    Proof. If a=b=1, rvd(K2)=χi(K2)=1. Consider that b>a=1 or ba2. Assume that K2,a is a complete bipartite graph with bipartition (V1,V2), where V1={x,y} and V2={v1,v2,,va}. Add ba pendant edges to x. The new graph from K2,a is denoted by G, where the set of new ba vertices is V3={va+1,va+2,,vb}. Then rvd(G)=rvd(K2,a)=a by Lemmas 2.13 and 2.14. Since Δ(G)=b, we have χi(G)b. Now give a vertex-coloring c on G. Assume c(x)=1, c(y)=2, and c(vi)=i for i[b]. Then for any vertex v of G, NG(v) is rainbow. So c is an injective coloring of G and χi(G)b.

    A graph is minimally k-connected if it is k-connected, but omitting any of the edges, the resulting graph is no longer k-connected.

    Lemma 2.16. [13] Let G be a minimally k-connected graph of order n. If n3k2, then |E(G)|k(nk). Furthermore, if n3k1, equality holds if and only if G=Kk,nk.

    Lemma 2.17. [1] For integers k and n with 1kn, the minimum size of a connected graph G of order n4 with rvd(G)=k is

    |E(G)|min={n+k2,1kn1,2n4+n2,k=n.

    Theorem 2.18. Let G be a minimally 2-connected graph with order n. If n4, rvd(G)n2. Furthermore, rvd(G)=n2 if and only if G=K2,n2.

    Proof. By Lemma 2.16, we have |E(G)|2n4. By Lemma 2.17, rvd(G)n2. If n=4, G is K2,2, and rvd(G)=2. If n5, by Lemma 2.16, rvd(G)=n2 if and only if G=K2,n2.

    A graph G is outerplanar if it has a planar embedding ˜G in which all vertices lie on the boundary of its outer face.

    Lemma 2.19. [3] Every simple 2-connected outerplanar graph other than K2 has a vertex of degree two.

    Theorem 2.20. For an outerplanar graph G, rvd(G)4.

    Proof. By Lemma 2.7, consider that G is not a tree. If G is a triangle, then rvd(G)=2. So consider graph G with order n4. If there is a cut vertex in G, assuming that the 2-connected subgraph of G with maximum rainbow vertex-disconnection number is G, we obtain rvd(G)=rvd(G) by Lemma 2.13. So suppose that G is 2-connected. If there is an interior face with length more than 3, then we add some edges to make each interior face a 3-cycle. The resulting graph is denoted by H.

    Next, we prove there exists an RVD-Coloring cH of graph H: V(H)[4], satisfying the vertex set of each 4-cycle is rainbow. For simplicity, we say that each 4-cycle is rainbow.

    For n=4, we have H=K4e and it suffices to color each vertex using different color. Assume that for graphs of order n, the assertion is true. Then consider graph H with order n+1. By Lemma 2.19, select a vertex v with dH(v)=2. Let NH(v)={v1,v2}. Since H is an outerplanar graph, H is K2,3 minor-free. So let NH(v1)NH(v2)={v,v3}. Since Hv is 2-connected, there is an RVD-Coloring cHv: V(Hv)[4] such that each 4-cycle is rainbow. By coloring the vertex v using the color different from cHv(v1),cHv(v2),cHv(v3), we obtain a vertex-coloring cH of graph H. Obviously, the 4-cycle vv1v3v2 is rainbow.

    Let w,zV(H). If w=v or z=v, then FH(w,z)={v1,v2}{z} or {v1,v2}{w}. If {w,z}={v1,v2}, then FH(w,z)={v,v3}. Except for them, FH(w,z)=FHv(w,z). So cH is an RVD-Coloring of H such that each 4-cycle is rainbow. Thus, rvd(G)4 by Lemma 2.4.

    Next, we study rainbow vertex-disconnection numbers of three kinds of graph products. First, we give the definitions of three kinds of graph products as follows.

    Give two internal disjoint graphs G,H. The graph with vertex set V(G)×V(H) is Cartesian product GH, where (u,x)(v,y) in GH if and only if either u=v and xyE(H) or uvE(G) and x=y.

    The direct product G×H is the graph with vertex set V(G)×V(H), where (u,x)(v,y) if and only if both uvE(G) and xyE(H).

    The lexicographic product GH is the graph with vertex set V(G)×V(H), where (u,x)(v,y) if and only if uvE(G), or u=v and xyE(H).

    The stacked book graph is defined as Bm,nSmPn, where Sm is a star with order m+1, m2, and n2.

    Theorem 3.1. rvd(Bm,n)=m+1.

    Proof. Let V(Sm)={si|i[m+1]}, where dSm(s1)=m. Let V(Pn)={pj|j[n]}. For convenience, denote vertex (si,pj) in Bm,n by vij. Since κBm,n(v11,v12)=m+1, rvd(Bm,n)m+1. Give a vertex-coloring c of Bm,n using m+1 colors as follows. Let c(v1j)=m for j[n]. Let c(vij)=j2+i1 (mod m) for i2 and i[m+1] and j[n]. Except for v1j, the open neighborhood of each vertex of Bm,n is rainbow. Consider any two vertices v1j1 and v1j2, where j1<j2. If j1=1, then NBm,n(v1j1) is rainbow; otherwise, NBm,n(v1j1){v1j11} is rainbow. Thus, there exists FBm,n(v1j1,v1j2). So rvd(Bm,n)m+1.

    Lemma 3.2. [1] Let G be a nontrivial connected graph, and let u and v be two vertices of G having at least two common neighbors. Then u and v receive different colors in any rvd-coloring of G.

    Lemma 3.3. [1] Let G be a nontrivial connected graph of order n. Then rvd(G)=n if and only if any two vertices of G have at least two common neighbors.

    Theorem 3.4. For nontrivial connected graphs G and H, max{κ+(G)+Δ(H),κ+(H)+Δ(G)}rvd(GH)|V(G)||V(H)|. Moreover, the upper and lower bounds are sharp.

    Proof. The upper bound is obtained from rvd(GH)|GH|=|V(G)||V(H)|. According to Lemma 3.3, we have rvd(KpKq)=pq, where p4 and q4. So the upper bound is sharp. Select row i where each vertex has the maximum degree in the corresponding graph G. In the same row i, we select two vertices xi, and xi,s satisfying κH(xi,,xi,s)=κ+(H). Assume that NG(xi,)={xj1,,xj2,,,xjΔ,}. Consider the number of internally disjoint paths between xi, and xi,s. Since H is connected, there is a path between xjt, and xjt,s for t{1,2,,Δ}, say Pjt, only through the vertices in row jt. So paths xi,Pj1xi,s, xi,Pj2xi,s,,xi,PjΔxi,s are Δ(G) internally disjoint paths between xi, and xi,s. There exist at least κ+(H) internally disjoint paths in row i. Thus, κGH(xi,,xi,s)Δ(G)+κ+(H). According to Lemma 2.5, rvd(GH)Δ(G)+κ+(H). By symmetry, the lower bound is obtained. For a stacked book graph Bm,n, since Δ(Sm)=m, κ+(Pn)=1, and rvd(Bm,n)=m+1 by Theorem 3.1, the lower bound is sharp.

    Theorem 3.5. For graphs G,H with Δ(G)2 and Δ(H)2, max{Δ(G),Δ(H)}rvd(G×H)|V(H)||V(G)|.

    Proof. Denote each vertex of G×H by (u,v), where uV(G) and vV(H). Let u0V(G) with dG(u0)=Δ(G) and NG(u0)={u1,u2,,uΔ(G)}. Let v0V(H) with dH(v0)=Δ(H) and NH(v0)={v1,v2,,vΔ(H)}. Then (u1,v0),(u2,v0),(u3,v0),,(uΔ(G),v0) are the common neighbors of (u0,v1) and (u0,v2). So rvd(G×H)Δ(G). Since (u0,v1),(u0,v2),,(u0,vΔ(H)) are the neighbors that (u0,v1) and (u0,v2) have in common, we have rvd(G×H)Δ(H). Since rvd(P3×K1,n1)=Δ(K1,n1), the lower bound is sharp. Obviously, rvd(G×H)|V(H)||V(G)|. Since rvd(Kp×Kq)=pq, where p4 and q4, the upper bound is sharp.

    Corollary 3.6. For nontrivial connected graphs G and H, rvd(G×H)=1 if and only if G×H=K2×T or T×K2, where T is a tree.

    Proof. Assume that rvd(G×H)=1. Then Δ(G)=1 or Δ(H)=1 by Theorem 3.5. Suppose that Δ(G)=1 by symmetry. Then G is K2. Let V(G)={x,y}. Suppose that H contains a cycle Cl=v1v2vlv1. If l is even, there exists a cycle (x,v1)(y,v2)(x,v3)(y,v4)(y,vl)(x,v1) in G×H. If l is odd, there exists a cycle (x,v1)(y,v2)(x,v3)(x,vl)(y,v1)(x,v2)(y,v3)(y,vl)(x,v1) in G×H. So rvd(G×H)2. It is a contradiction. Thus, H is a tree.

    For the converse, we prove rvd(K2×T)=1 by contradiction. Suppose that there is a tree T0 satisfying rvd(K2×T0)2. Then there is a cycle C in K2×T0. By symmetry, assume that C=(x,vi1)(y,vi2)(x,vi3)(y,vit)(x,vi1). If the cycle C passes (y,vik)=(y,vi1), then there exists a cycle vi1vi2vik1vi1 in T0; otherwise, there exists a cycle vi1vi2vitvi1 in T0. It is a contradiction.

    The subsequent corollary is obtained by Corollary 3.6 and Lemma 2.14. For K2×Cn, where Cn is a cycle with n vertices, the lower bound is sharp. The upper bound is sharp for K2×Kp, where p4.

    Corollary 3.7. For a 2-connected graph G: 2rvd(K2×G)|V(G)|.

    Any pair of vertices at a distance 2 receives different colors in a 2-distance coloring of a graph G. The smallest number of colors required in a 2-distance coloring of G is 2-distance chromatic number, represented by χ2(G). For any graph G, Δ+1χ2(G)Δ2+1, where Δ=Δ(G). As shown in [12], the upper bound is sharp for Moore graphs of type (Δ,2), which are graphs where all vertices have degree Δ, are at distance at most two from each other, and the total number of vertices is Δ2+1.

    Theorem 3.8. For nontrivial connected graphs G,H with Δ(G)=Δ, rvd(GH)χ2(G)|V(H)|(Δ2+1)|V(H)|.

    Proof. Let V(G)={u0,u1,,up} and V(H)={v0,v1,,vq}, where u0 is the vertex with the maximum degree of G. Let Si={(ui,vj)|j=0,1,2,,q}. Since (ui,v0) and (ui,v1) are two common neighbors for any pair of vertices in Si, where ui is adjacent to ui in G, Si is rainbow under any rvd-coloring by Lemma 3.2.

    Assume that NG(u0)={u1,u2,,uΔ}. For (ui1,vj1)Si1 and (ui2,vj2)Si2, where i1,i2[Δ], they have at least two common neighbors (u0,v0) and (u0,v1). So Δi=1Si is rainbow. For (u0,vt)S0 and (ui,vj)Si, where i[Δ], they have at least two common neighbors (u0,vt) and (ui,vj), where vtvt and vjvj in H. So Δi=0Si is rainbow. Thus, rvd(G)(Δ+1)|V(H)|. Similarly, Si(pdt=p1St) is rainbow for any uiV(G), where NG(ui)={up1,up2,,upd}.

    For a 2-distance coloring c of G: V(G)[χ2(G)], we expand each color k to a color set ck={(k1)|V(H)|+1,(k1)|V(H)|+2,,k|V(H)|}. If c(ui)=k, then color Si using ck. The resulting coloring of GH is an RVD-Coloring of GH. So χ2(G)|V(H)|rvd(GH).

    In this section, the complexity of computing rvd number of split graphs is studied. If a split graph G is partitioned into a clique C and an independent set I, then define (C,I) as a split partition of G. If |C|=1, G is a tree and rvd(G)=1. If |C|=2, rvd(G)=t+1, where t is the number of vertices in I that have degree two. So in the rest of this section, we consider |C|3.

    Lemma 4.1. [1] For an integer n2,

    rvd(Kn)={n1,ifn=2,3,n,ifn4.

    Lemma 4.2. Let G be a graph from Kn (n3) by adding a vertex v with degree 3 to Kn. Then rvd(G)=n+1.

    Proof. When n=3, G is K4, and rvd(G)=4 by Lemma 4.1. When n4, assume that x1,x2,x3NG(v). Since there exist x1-x2, x1-x3, x2-x3 rainbow vertex-cuts under any rvd-coloring of G, v's color differs from Kn. So rvd(G)=n+1.

    Theorem 4.3. For a split graph G, there exists a polynomial time algorithm that approximates rvd(G) within a factor of n23.

    Proof. Let G be a connected graph with a clique X and an independent set Y. Consider that G is 2-connected by Lemma 2.13. So δ(G)2. Let p=|X|1 for |X|=3 and p=|X| for |X|4. Construct a new graph H using Y. If u,vY and u,v have at least two common neighbors in X, then uv; otherwise, uv.

    Now we claim p+χ(H)1rvd(G)|X|+χ(H). First, provide a vertex-coloring c on G. Color X rainbow using |X| colors. Color Y using new χ(H) colors according to the proper coloring of H. Let w,zV(G). If w,zX, then FG(w,z)=XMY(w,z){w,z}, where MY(w,z)=NY(w)NY(z). If wY or zY, FG(w,z)=X{w,z}. So rvd(G)|X|+χ(H). We prove the lower bound by contradiction. Assume that rvd(G)p+χ(H)2. Denote an RVD-Coloring of G by c0 using p+χ(H)2 colors. Since X is a complete graph, rvd(X)=p. Then Y has at most χ(H)2 colors different from X, denoted by [χ(H)2]. Let S={v|vY and c0(v)c0(X)}. For vS, by Lemma 4.2, we have dG(v)=2. Now recolor S to get a vertex-coloring c on G. Assume that NG(v)={u1,u2}. If MY(u1,u2)={v}, recolor v such that c(v)[χ(H)2]; otherwise, recolor v using a new color. So Y uses at most χ(H)1 colors in c and has no color appearing in X. Color H as Y. Then we obtain a proper coloring of H using at most χ(H)1 colors, which is a contradiction. So rvd(G)p+χ(H)1.

    Consider color classes V1,V2,,Vχ(H) of H. Since δ(G)2 and any two vertices in Vi (i[χ(H)]) have at most one common neighbor in X, we have (|X|2)|Vi| for any i[χ(H)]. Thus, (|X|2)|V(H)|χ(H). We obtain χ(H)2|V(H)||X|2. Any graph with t edges can be colored properly with at most 12+2t+14 colors in chapter 5 [8]. We can obtain an RVD-Coloring c0 of G using at most |X|+1+2|E(H)| colors. So we obtain the following inequalities for n22:

    |X|+1+2|E(H)|rvd(G)|X|+1+2|E(H)|p1+2|V(H)||X|2n+1|X|+2n|X|283n23.

    Hence, c0 is an n23-approximation of rvd(G).

    Next, we consider RVD-Problem, which aims to determine whether G has an RVD-Coloring with k colors given the graph G and a positive integer k.

    We have proved Lemma 4.4 in [14]. The main idea of Lemma 4.4 is to construct a split graph H from any graph G satisfying rvd(H)k+3|E(G)| if and only if χ(G)k. A graph is induced K1,t-free if it does not contain K1,t as an induced subgraph. In fact, H is an induced K1,t-free split graph for t4. So we easily obtain Theorem 4.5.

    Lemma 4.4. [14] RVD-Problem is NP-complete for split graphs.

    Theorem 4.5. RVD-Problem is NP-complete for induced K1,t-free split graphs for t4.

    Furthermore, we consider induced K1,t-free split graphs with t3.

    Lemma 4.6. If G is an induced K1,2-free connected graph, then G is a complete graph.

    Proof. Assume that G is not complete. Then there exist two vertices, u and v, such that uvE(G). Since G is connected, there is a path from u to v, denoted by Puv=uw1w2wkv. Since G is induced K1,2-free, we have uw2E(G) and get a shorter path uw2wkv. Similarly, we have uw3,uw4uwk,uvE(G), which is a contradiction.

    According to Lemmas 4.1 and 4.6, we get the following result.

    Theorem 4.7. For an induced K1,2-free split graph G with order n,

    rvd(G)={n1,ifn=2,3,n,ifn4.

    .

    Theorem 4.8. For an induced K1,3-free split graph G, rvd(G) can be determined in polynomial time.

    Proof. Let G be an induced K1,3-free split graph with split partition (C,I). Since G is induced K1,3-free, each vertex in C has at most two neighbors in I (Rule1). For u,vI, if NG(u)NG(v), then NG(u)NG(v)=C (Rule2). Otherwise, there exists a vertex v0C satisfying v0u and v0v. Let vNG(u)NG(v). The vertices v,u,v,v0 form a K1,3, which is a contradiction.

    For |C|=3, if there is no vertex in I with degree2, then rvd(G)=2; if there is a vertex with degree two but no vertex with degree three in I, then rvd(G)=3; if there is a vertex with degree three in I, then C is rainbow under any rvd-coloring of G. So we only need to consider the last case for |C|=3 and |C|4.

    Let S={(u,v)||NG(u)NG(v)|2 and dG(u)3,dG(v)3, and u,vI}. If (u,v)S and (x,y)S, let vsNG(u)NG(v); then vsx or vsy by Rule 2. We obtain dI(vs)3, which is a contradiction to Rule 1. So S has no two disjoint pairs of vertices. Here are two cases.

    Case 1. Assume that (u,v),(u,x),(v,x)S.

    By Rule 2, each vertex in C has two edges to {u,v,x}. So by Rule 1, |I|=3 and I={u,v,x}. Thus, S={(u,v),(u,x),(v,x)}.

    Case 2. |S|=1 or every pair of vertices in S contains the same vertex.

    Assume that the same vertex is u. Then let S={(u,u1),(u,u2)}.

    Next, we give a vertex-coloring c of the induced K1,3-free split graph G with split partition (C,I) as follows.

    Algorithm 1 rvd-coloring of G
    Input: An induced K1,3-free split graph G with split partition (C,I)
    Output: An rvd-coloring c of G
    1: Color C rainbow using colors [|C|].
    2: Set Q1=Q2=Q3=.
    3: for each vI do
    4:   if dG(v)2 then
    5:     color v with the same color as one of its neighbors
    6:     continue;
    7:   if dG(v)3 and |Q1|=|Q2|=1 and v and every vertex in Q1Q2 have at least two common neighbors then
    8:     color v using color |C|+3 and Q3=Q3{v}.
    9:     break;
    10:   if dG(v)3 and there exists uQ1 such that u and v have at least two common neighbors then
    11:     color v using color |C|+2 and Q2=Q2{v}.
    12:   else
    13:     color v using color |C|+1 and Q1=Q1{v}.

    We now assert that c is G's rvd-coloring. By Lemmas 4.2 and 3.2, the number of colors used in vertex-coloring c is the lower bound of rvd(G). Let q,qV(G). For q,qC, since G is induced K1,3-free, there is at most one common neighbor with degree two in I. Let NI(q,q) be the common neighbors of q and q in I. Then FG(q,q)=CNI(q,q){q,q}. For q,qI, FG(q,q)=C. For qC and qI, FG(q,q)=C{q}.

    The author declares she has not used Artificial Intelligence (AI) tools in the creation of this article.

    The author is very grateful to the anonymous reviewers for their constructive feedback, which helped strengthen this work. This work is supported by the Scientific Research Funds of Zhejiang Sci-Tech University, PR China (Project No. 21062343-Y).

    No conflict of interest exists in the submission of this manuscript.



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