Research article

Polychromatic colorings of hypergraphs with high balance

  • Received: 01 October 2019 Accepted: 16 March 2020 Published: 20 March 2020
  • MSC : 05C15, 05C65

  • Let m be a positive integer and C={1,2,,m} be a set of m colors. A polychromatic m-coloring of a hypergraph is a coloring of its vertices in such a way that every hyperedge contains at least one vertex of each color in C. This problem is a generalization of 2-colorings of hypergraphs and has close relations with the longest lifetime problem for a wireless sensor network, cover decompositions problem of hypergraphs and vertex cover problem of hypergraphs. In this paper, a main work is to find the maximum m that a hypergraph H, with n hyperedges, admits a polychromatic m-coloring such that each color appears at least k times on each hyperedge. A 2lnn approximation to the number is obtained when k is a fixed positive integer. For the case that k=O(nlnn), there exists an O(lnn) approximation algorithm; for the case that k=ω(nlnn), there exists a (2+3)k approximation algorithm.

    Citation: Zhenzhen Jiang, Jun Yue, Xia Zhang. Polychromatic colorings of hypergraphs with high balance[J]. AIMS Mathematics, 2020, 5(4): 3010-3018. doi: 10.3934/math.2020195

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  • Let m be a positive integer and C={1,2,,m} be a set of m colors. A polychromatic m-coloring of a hypergraph is a coloring of its vertices in such a way that every hyperedge contains at least one vertex of each color in C. This problem is a generalization of 2-colorings of hypergraphs and has close relations with the longest lifetime problem for a wireless sensor network, cover decompositions problem of hypergraphs and vertex cover problem of hypergraphs. In this paper, a main work is to find the maximum m that a hypergraph H, with n hyperedges, admits a polychromatic m-coloring such that each color appears at least k times on each hyperedge. A 2lnn approximation to the number is obtained when k is a fixed positive integer. For the case that k=O(nlnn), there exists an O(lnn) approximation algorithm; for the case that k=ω(nlnn), there exists a (2+3)k approximation algorithm.


    This work is inspired by recent developments concerning hypergraph vertex cover, disjoint edge cover of hypergraph, the longest lifetime problem for a wireless sensor network (WSN) with battery-limited sensors. A hypergraph H=(V,E) consists of a ground set V of vertices and a collection E of hyperedges, where each hyperedge fE is a subset of V. Let m be a positive integer. A polychromatic m-coloring of a hypergraph H is a coloring of vertices of H with m colors such that every hyperedge contains at least one vertex of each color. It is a generalization of 2-colorings of a hypergraph. Obviously, in a polychromatic coloring of hypergraph H, each color class is exactly a vertex cover of H. The polychromatic number of a hypergraph H is the maximum number m that H admits a polychromatic m-coloring and is denoted by p(H).

    The rank of a hypergraph H is R(H)=maxfE|f|, the anti-rank of H is S(H)=minfE|f|. If R(H)=S(H)=d, that is, the size of every hyperedge in H is d, we say that the hypergraph H is a d-uniform hypergraph. The degree of a vertex vV(H) is the number of hyperedges containing v in H, and is denoted by dH(v) or simply by d(v). The maximum degree, minimum degree, of H is Δ(H)=maxvV(H)dH(v), δ(H)=minvV(H)dH(v), respectively. A hypergraph in which each vertex has degree d is called a d-regular hypergraph. Throughout this paper, we denote the class of d-regular d-uniform hypergraphs by Hd. Let f be a hyperedge in a hypergraph with anti-rank S. The operation shrinking f means to replace it with some ff. This operation is useful when considering polychromatic colorings of hypergraphs with the probabilistic method because it bounds the dependence degree. We could shrink each hyperedge fj with |fj|>S to fj such that |fj|=S. Clearly, undoing shrinking preserves the property of being a hyperedge containing m colors. (For each hyperedge fj, its coloring is dependent on the colorings of its incident hyperedges. So its dependence degree is at most S(Δ1).) Since each hypergraph H with anti-rank S=1 has p(H)=1, we focus on the hypergraphs with anti-rank S2 throughout this paper.

    A subfamily Ei of E in a hypergraph H=(V,E) is called a cover in H if fEif=V. A cover m-decomposition of a hypergraph H is a partition of E into m covers in H, i.e. E=mi=1Ei and fEif=V. The maximum integer m such that the hypergraph H admits a cover m-decomposition is called the cover-decomposition number of H and denoted by cd(H). The problem to determine the cover decomposition numbers of hypergraphs is called the maximum disjoint set cover problem (DSCP), which is NP-complete [8]. A hypergraph H can model a collection of sensors, with each hyperedge fE corresponding to a sensor which can monitor the vertices (targets) in fV. Since monitoring all vertices (targets) of V takes a cover in H, cd(H) is exactly the longest lifetime for a WSN corresponding to the hypergraph H if each sensor can only be turned on for a single time unit ([3,7]).

    Let H=(V,E) be a hypergraph with V={x1,x2,,xn} and E=(f1,f2,...,fm). The dual of H is a hypergraph H whose vertices ˆf1,ˆf2,...,ˆfm correspond to the hyperedges of H, and whose hyperedges ˆxi={ˆfj|xifj in H}, i=1,2,,n. Clearly, (H)=H and Δ(H)=R(H), δ(H)=S(H), R(H)=Δ(H), S(H)=δ(H).

    Let pk(H) denote the maximum m such that H admits a polychromatic m-coloring satisfying that each color appears at least k times on each hyperedge and cdk(H) denote the maximum m such that H has a cover m-decomposition satisfying that each cover contains at least k incident edges of each vertex. Clearly cdk(H)=pk(H).

    Early in the 1970s, Erdős and Lovász [10] considered the existence of polychromatic colorings of hypergraphs and showed that, for each integer m2, every hypergraph with anti-rank Sm and each of whose hyperedges intersecting at most mS1/(4(m1)S) other hyperedges is polychromatic m-colorable. (The original version is formed on S-uniform hypergraphs. Via the operation "shrinking", it is easy to see that it could be stated with a slight generalization as above.) Moreover, for lattice point hypergraphs, Erdős and Lovász [10] gave a stronger version in which the existence of polychromatic colorings with high balance is guaranteed: For ϵ>0,m>2,n>1, there is an r0=r0(m,ϵ) such that if T is any set of lattice points in the n-dimensional space with |T|=S>r0 then the lattice points can be m-colored so that each set T+a obtained by translating T with an integer vector a contains at least (1ϵ)Sm points of any given color.

    Henning and Yeo [13] considered polychromatic colorings of hypergraphs in Hd and showed every hypergraph HHd (d2) has a polychromatic m-coloring for each mdln(d3). Using a randomized algorithm, Bagaria, Pananjady and Vaze [3] gave a lnn approximation result in polynomial time that each hypergraph H with n hyperedges and anti-rank S has p(H)S(1o(1))/lnn. For hypergraphs H with maximum degree at most Δ and anti-rank at least S, Li and Zhang [17] gave a lower bound S/ln(cΔS2) for the polychromatic number of hypergraphs, where 0<c=c(Δ,S)<1.5582<e, and, for polychromatic colorings with high balance, they showed that H has a polychromatic m-coloring such that every hyperedge in H contains at least ln(eΔS2) vertices of each color for each mSln(eΔS2).

    Given a plane graph G, a face hypergraph F(G) based on G is one whose vertex set is V(G) and whose hyperedges are the vertex sets of G's faces. By virtue of the four-color theorem, Mohar and Škrekovski [19] proved that every simple plane graph is polychromatic 2-colorable. Later Bose et al. [6] proved this result without the use of the four-color theorem. For a family H of face hypergraphs with anti-rank S, Alon et al. [1] showed that 3S54minHH{p(H)}3S+14. A factor hypergraph HF(G) based on G is one whose vertex set is E(G) and whose hyperedges are the edge sets of G's F-factors. Axenovich et al. [2] determined the polychromatic number for the 1-factor hypergraph H1(Kn) and bounded the polychromatic number for the 2-factor hypergraph H2(Kn) and the Hamilton-cycle-factor hypergraph HCn(Kn).

    On 2-colorings of hypergraphs, Vishwanathan [21] showed that, for each integer d4, every hypergraph in Hd is 2-colorable. The bound for d is sharp noting that Fano plane is in H3 but not 2-colorable. Henning and Yeo [13] discussed 2-coloring with high balance for the hypergraphs in Hd and observed that, for each integer k2, every hypergraph HHd has a 2-coloring such that each hyperedge contains at least k+1 vertices of each color if one of the following conditions holds: (i) kd/2dln(d2e); (ii) d2k+3kln(k)+44.03; (iii) d2k+4kln(k)+14.04. Beck and Fiala [4] showed that every hypergraph with maximum degree Δ2 has a 2-coloring such that each hyperedge fE contains at least |f|/2Δ+1 vertices of each color. Chen, Du and Meng [9] gave a sufficient condition, each hyperedge meets at most 2S/(e(S+1))2 other hyperedge, to show a hypergraph with anti-rank S4 having a 2-coloring such that each color appears at least two times on each hyperedge.

    There is much literature on cover decomposition number of (multi)graphs, using edge coloring method of (multi)graph. Gupta [11] showed every multigraph has a cover decomposition into at least minvV(G){d(v)μ(v)} covers, where μ(v)=maxuN(v)|E(uv)|. In [12], Gupta confirmed that each multigraph with minimum degree δ has a cover (3δ+1)/4-decomposition. Hilton [14] discussed cover decomposition of multigraphs such that each cover contains at least j incident edges of each vertex. Let Vk={vV:k|d(v)}. Hilton and de Werra [15] showed every graph G with Vk independent has a cover m-decomposition such that each cover contains either d(v)/m or d(v)/m incident edges of each vertex vV(G). Zhang and Liu [25] extended the conclusion to graphs G with G[Vk] forests and, furthermore, peelable graphs G. Let g be a positive integer function defined on V(G) such that g(v)d(v) for each vV(G). Song and Liu [20] considered DSCP of multigraphs satisfying that each cover contains at least g(v) incident edges for each vertex vV(G), g-cover decomposition for short, and obtained a result with a form analogous to Gupta's one in [11]. Ma and Zhang [18] determined cdg(G) for a class of graphs which extends the class of peelable graphs. Xu and Liu [23] discussed DSCP for multigraphs with 2δ5. Zhang and Zhang [26] considered DSCP for nearly bipartite graphs. A graph G is called g-critical on DSCP, if cdg(G+uv)cdg(G) for each pair of nonadjacent vertices u,v. Xu and Liu [22] gave some properties of 1-critical graphs on DSCP. Zhang [24] described completely disconnected g-critical graphs.

    Bollobás et al. [5] researched cover decompositions of hypergraphs. We state their result in dual version: Let H be a family of hypergraphs with maximum Δ and anti-rank S. Then

    (i) for all Δ, S and each HH, p(H)S/(lnΔ+O(lnlnΔ));

    (ii) for all Δ2, S1, minHH{p(H)}max{1,O(S/lnΔ)};

    (iii) for each sequence Δ, S with S=ω(lnΔ), minHH{p(H)}(1+o(1))S/ln(Δ).

    In Section 2, we will prove the following result, which extends the result due to Bagaria, Pananjady and Vaze [3] to polychromatic colorings with high balance.

    Theorem 1.1. Let n,S,k be three positive integers and H be a hypergraph with n hyperedges and anti-rank S.

    (i) If k is a fixed positive integer, then pk(H)S(1o(1))/(2lnn).

    (ii) If k=O(ln(nlnn)), then pk(H)S/O(lnn).

    (iii) If k=ω(ln(nlnn)), then pk(H)S(1o(1))/((2+3)k).

    Within the proof, we shall make use of the following classical tool of the probabilistic method–the Chernoff Bound. Let X1,X2,,Xs be mutually independent Bernoulli variables such that Xi=1 with probability p and Xi=0 with probability 1p. Define X=si=1Xi. Clearly, E(X)=si=1E(Xi)=sp.

    Theorem 2.1. [16](The Chernoff Bound) For any 0tsp, Pr(X>sp+t)<et23sp and Pr(X<spt)<et22spet23sp.

    The proof of Theorem 1.1

    Proof. By virtue of the operation shrinking, we can always assume that H is S-uniform.

    Let n be large enough and C={1,2,,h} be a color set. Color the vertices of H in such a way that each vertex is independently and uniformly assigned a color of C. For fE, cC, define Af,c to be the "bad" event that color c appears at most k1 times on hyperedge f. We want to avoid these "bad" events and achieve a polychromatic mk-coloring with m(h) as large as possible. If we can show that with positive probability, each of m colors appears at least k times on every hyperedge, then we will be done. Let Xf,c be the number of vertices colored with c on the hyperedge f. Then E(Xf,c)=S/h. Clearly, for each pair of fE and cC,

    Pr(Af,c)=Pr(Xf,c<k)=Pr(Xf,c<Sh(Shk))

    and ShkSh. If Shk0, by the Chernoff Bound, the probability of event Af,c is the following.

    Pr(Af,c)<e(Shk)22Sh (2.1)
    =e(S2hk+hk22S). (2.2)

    An invalid color is one which appears at most k1 times in some hyperedge of H. Let L be the number of invalid colors in a random uniform h-coloring of H as described as above. Then the expectation of L

    E(L)cCfEPr(Af,c)hnmaxcC,fEPr(Af,c).

    Next, we discuss three cases according to the value of k, corresponding to which the function h will vary.

    (ⅰ) k is a fixed positive integer.

    Set h=S2ln(nlnn). Clearly, Shk0 as n is large enough. By Inequality (2), for each pair of fE and cC,

    Pr(Af,c)<(nlnn)1ekek24ln(nlnn)<(nlnn)1ek.

    Then

    E(L)<hn(nlnn)1ek=hek/lnn.

    Thus, with positive probability, we can get a coloring of H with at least hE(L) colors such that each of the colors appears at least k times on each hyperedge of H. That is to say,

    pk(H)hE(L)>h(1eklnn)=S2ln(nlnn)(lnneklnn)=S2lnnlnnekln(nlnn)=S2lnn(1lnlnn+ekln(nlnn))=S2lnn(1o(1))

    (ⅱ) k=O(ln(nlnn)).

    Then there exists a positive constant, say d, such that kdln(nlnn) for large enough n. Set h=S(d+2d+1+1)ln(nlnn). Clearly, Shk>0. By Inequality (1), for each pair of fE and cC,

    Pr(Af,c)<e(Shk)22Sheh(Shdln(nlnn))22S=e(S2hdln(nlnn)+hd2ln2(nlnn)2S)=e((d+2d+1+1)ln(nlnn)2dln(nlnn)+d2ln2(nlnn)2(d+2d+1+1)ln(nlnn))=e((d+2d+1+1)2d+d22(d+2d+1+1))ln(nlnn)=eln(nlnn)=(nlnn)1.

    So E(L)<hn(nlnn)1=h/lnn and then there is

    pk(H)hE(L)>h(11lnn)=S(d+2d+1+1)ln(nlnn)(lnn1lnn)=S(d+2d+1+1)lnn(1lnlnn+1ln(nlnn))=S(d+2d+1+1)lnn(1o(1))=SO(lnn)

    (ⅲ) k=ω(ln(nlnn)).

    In this case, set h=S(2+3)k. Clearly, Shk>0. By Inequality (1), for each pair of fE and cC,

    Pr(Af,c)<e(Shk)22Sh=e((1+3)k)22(2+3)k=ek<eln(nlnn)=(nlnn)1.

    Then E(L)<h/lnn and

    pk(H)hE(L)>h(11lnn)=S(1o(1))(2+3)k

    Bagaria, Pananjady and Vaze [3] gave the following result for hypergraphs with n hyperedges.

    Theorem 3.1. [3] Let H be a hypergraph with n hyperedges and anti-rank S. Then p(H)S(1o(1))/lnn.

    From the proof of Theorem 1.1 (ⅱ), we can deduce the following result.

    Corollary 3.2. Let n,S,k be three positive integers and d be a positive real. Let H be a hypergraph with n hyperedges and anti-rank S. If kdln(nlnn)), then pk(H)S(d+2d+1+1)lnn(1o(1)). In particular, if kln(nlnn)), then pk(H)S(2+3)lnn(1o(1)).

    Let A be a nonempty set. An equitable q-partition of A is a collection A1,A2,,Aq such that, for each 1i<jq, AiAj=, ||Ai||Aj||1 and 1iqAi=A. The operation equitable q-splitting a hyperedge f in a hypergraph means to replace f with an equitable q-partition of f. Let H be a hypergraph with n hyperedges and anti-rank S. Do an equitable k-splitting for each hyperedge of H and denote the resulting hypergraph by Hk. Clearly, Hk has kn hyperedges and S(Hk)=S/k. By Theorem 3.1, there is p(Hk)Sk(1o(1))/ln(kn). It is easy to see that a polychromatic m-coloring of Hk is corresponding to a polychromatic mk-coloring of H. So undoing equitable k-splitting could get a lower bound for pk(H), which is at most S(1o(1))/(kln(kn)). Obviously, for each k2, the lower bound shown in Theorem 1.1 is better.

    By the dual relationship of H and H, we have the following result on cover decomposition of a hypergraph with high balance.

    Theorem 3.3. Let n,δ,k be three positive integers and H be a hypergraph with n vertices and minimum degree δ.

    (i) If k is a fixed positive integer, then cdk(H)δ(1o(1))/(2lnn).

    (ii) If k=O(ln(nlnn)), then cdk(H)δ/O(lnn).

    (iii) If k=ω(ln(nlnn)), then cdk(H)δ(1o(1))/((2+3)k).

    The authors would like to thank the referees for careful reading and valuable comments.

    This work is supported by the Shandong Provincial Natural Science Foundation (Grant No. ZR2019MA032), the National Natural Science Foundation of China (Grant No.11701342) of China.

    All authors declare that there is no conflict of interest.



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