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Tuza: Critical hypergraphs and intersecting set-pair systems

Full paper in Markdown.


Full paper in Markdown.

Zsolt Tuza, "Critical hypergraphs and intersecting set-pair systems," Journal of Combinatorial Theory, Series B, 39(2), 134-145, 1985. https://doi.org/10.1016/0095-8956(85)90043-7

Overview

Tuza develops a set-pair method for bounding the number of vertices, rather than edges, in critical hypergraphs. An intersecting set-pair system (ISP-system) consists of pairs (Ai,Bi)(A_i,B_i) satisfying Ai∩Bj=∅A_i\cap B_j=\varnothing exactly when i=ji=j; an (a,b)(a,b)-system additionally has ∣Ai∣=a|A_i|=a and ∣Bi∣=b|B_i|=b (Section 1, pp. 134–135). The extremal parameters n(a,b)n(a,b) and n1(a,b)n_1(a,b) maximize, respectively, ∣⋃i(Ai∪Bi)∣|\bigcup_i(A_i\cup B_i)| and ∣⋃iAi∣|\bigcup_iA_i| over such systems (p. 135). The starting point is Bollobás's set-pairs inequality

∑i(∣Ai∣+∣Bi∣∣Ai∣)−1≤1,\sum_i\binom{|A_i|+|B_i|}{|A_i|}^{-1}\leq1,

labelled (∗)(*) in Section 2 (p. 136). Constructions 1 and 2 (p. 136) supply large ISP-systems, and the composition following Remark 3 proves

n1(a′+a′′,b′+b′′)≥a′+b′+(a′+b′a′)n1(a′′,b′′)n_1(a'+a'',b'+b'')\geq a'+b'+\binom{a'+b'}{a'}n_1(a'',b'')

(pp. 136–137).

The central reduction is Lemma 4 (p. 137). If T\mathcal T is the family of transversal sets of a hypergraph H\mathcal H having size at most tt, and if for every edge EiE_i every subset of EiE_i meeting all members of T\mathcal T has size at least si=min⁡(s,∣Ei∣)s_i=\min(s,|E_i|)—condition (∗∗)(**)—then

τs(H)≤n1(t,s−1).\tau_s(\mathcal H)\leq n_1(t,s-1).

The proof takes a subsystem minimal with respect to (∗∗)(**) and assigns to each retained TjT_j a set FjF^j of size at most s−1s-1 which misses TjT_j but meets every other retained member; the pairs (Tj,Fj)(T_j,F^j) form an ISP-system. This yields the symmetry identity

n1(a,b−1)=n1(b,a−1)n_1(a,b-1)=n_1(b,a-1)

(Theorem 5, p. 137).

The principal numerical estimate is Theorem 6 (pp. 138–139). For a≥ba\geq b and a>0a>0 it gives an explicit binomial-sum upper bound for n(a,b)n(a,b), lying below (a+b+1b+1)\binom{a+b+1}{b+1}, while for all a≥1a\geq1, b≥0b\geq0,

14(a+b+1b+1)<n1(a,b)<(a+b+1b+1).\frac14\binom{a+b+1}{b+1}<n_1(a,b)<\binom{a+b+1}{b+1}.

The lower estimate comes from Construction 1 with a′=⌊ab/(b+1)⌋a'=\lfloor ab/(b+1)\rfloor; the upper estimate combines iterative pruning with (∗)(*). Proposition 7 determines

n(a,0)=n1(a,0)=a,n(a,1)=n1(a,1)=⌊(a+22)2⌋n(a,0)=n_1(a,0)=a,\qquad n(a,1)=n_1(a,1)=\left\lfloor\left(\frac{a+2}{2}\right)^2\right\rfloor

(p. 139). The proposed exact descriptions in Problem 8 (pp. 139–140) are explicitly open; Proposition 9 proves only that n1(a,b)≠n(a,b)n_1(a,b)\ne n(a,b) when b>4a+3b>4a+3 (p. 140).

Section 3 applies the method to ν\nu-critical hypergraphs. Theorem 10 states that a ν\nu-critical hypergraph of rank rr satisfies

∣V(H)∣≤n1(rν,r−1)<(rν+rr)|V(\mathcal H)|\leq n_1(r\nu,r-1)<\binom{r\nu+r}{r}

(p. 140). The proof applies Lemma 4 with s=rs=r and t=νrt=\nu r to the unions of ν\nu pairwise disjoint edges and uses ∣V(H)∣=τr(H)|V(\mathcal H)|=\tau_r(\mathcal H), which the definition on p. 135 gives for rank-rr hypergraphs. Construction 11 (pp. 140–141) supplies a large intersecting, ν\nu-critical rr-uniform example, leading to the two-sided estimate in Corollary 12 (p. 141). The proposed linear bound in ν\nu for fixed rank remains Problem 13, not a theorem (p. 141).

Section 4 treats τ\tau-critical hypergraphs, where deleting any edge lowers the ordinary transversal number t=τ(H)t=\tau(\mathcal H). Each edge EiE_i then has a certificate TiT_i of size t−1t-1 which misses EiE_i and meets every other edge, so (Ei,Ti)(E_i,T_i) is an ISP-system (Section 4.1, p. 141). Conversely, Construction 15 completes any (a,b)(a,b)-system to a generally nonuniform τ\tau-critical hypergraph H∗\mathcal H^* with τ(H∗)=b+1\tau(\mathcal H^*)=b+1 and τa(H∗)≥∣⋃iAi∣\tau_a(\mathcal H^*)\geq|\bigcup_iA_i| (pp. 141–142). Theorem 17 consequently bounds the maximum order nr′n'_r of an rr-uniform τ\tau-critical hypergraph with transversal number tt by

nr′≤n1(r,t−1)<(t+rr),n'_r\leq n_1(r,t-1)<\binom{t+r}{r},

and gives nr′≥14(t+rr)n'_r\geq\frac14\binom{t+r}{r} when r≥t−1r\geq t-1 (p. 142). The sharper formulas in Problem 18 are conjectural (pp. 142–143).

Finally, Section 4.3 studies the ss-transversal number, a concept of Lehel that Tuza modifies slightly in Section 1: a set must, for each edge, contain it or meet it in at least ss vertices. For τ\tau-critical hypergraphs, Theorem 19 proves the exact identity and symmetry

m(s,t)=n1(s,t−1)=m(t,s)m(s,t)=n_1(s,t-1)=m(t,s)

(p. 143), hence 14(s+tt)<m(s,t)<(s+tt)\frac14\binom{s+t}{t}<m(s,t)<\binom{s+t}{t}. For kk-intersecting hypergraphs—meaning that every kk edges have a common vertex—Theorem 20 gives

1kn1(s,t−1)≤mk(s,t)≤n1(s,t−1),\frac1k n_1(s,t-1)\leq m_k(s,t)\leq n_1(s,t-1),

and, for fixed t,k≥1t,k\geq1, mk(s,t)>14n1(s,t−1)m_k(s,t)>\frac14n_1(s,t-1) for all sufficiently large ss (p. 144). These results concern criticality, common intersections, and multiple hits per edge; they do not study local two-point piercing directly.

Relation to E644

This source bears on Problem 644.

Write an E644 instance as a kk-uniform hypergraph H\mathcal H and denote its local hypothesis by

Pr:τ(F)≤2for every F⊆E(H), ∣F∣=r.P_r:\qquad \tau(\mathcal F)\leq2\quad\text{for every }\mathcal F\subseteq E(\mathcal H),\ |\mathcal F|=r.

Then f(k,r)f(k,r) is the desired universal upper bound on the ordinary transversal number t=τ(H)t=\tau(\mathcal H) under PrP_r. This must not be confused with Tuza's τ2(H)\tau_2(\mathcal H): for a kk-uniform hypergraph, the latter is the minimum size of one set meeting every edge in at least two vertices (definition on p. 135), whereas PrP_r says that each rr-edge subhypergraph has an ordinary transversal of size at most two.

Tuza's directly usable reduction applies to a finite E644 instance. Choose an edge-minimal subhypergraph G⊆H\mathcal G\subseteq\mathcal H with τ(G)=t\tau(\mathcal G)=t. Then G\mathcal G is τ\tau-critical, remains kk-uniform, and inherits PrP_r. Section 4.1 (p. 141) provides, for every Ei∈E(G)E_i\in E(\mathcal G), a set TiT_i with

∣Ti∣=t−1,Ti∩Ei=∅,Ti∩Ej≠∅(j≠i).|T_i|=t-1,\qquad T_i\cap E_i=\varnothing,\qquad T_i\cap E_j\ne\varnothing\quad(j\ne i).

Thus (Ei,Ti)(E_i,T_i) is a (k,t−1)(k,t-1) ISP-system. Bollobás's inequality (∗)(*) on p. 136 immediately gives the finite critical-kernel bound

∣E(G)∣≤(k+t−1k),|E(\mathcal G)|\leq\binom{k+t-1}{k},

while Theorem 17 (p. 142) gives

∣V(G)∣≤n1(k,t−1)<(k+tk).|V(\mathcal G)|\leq n_1(k,t-1)<\binom{k+t}{k}.

Construction 15 (pp. 141–142) does not preserve kk-uniformity or guarantee PrP_r. Theorem 20 is not directly applicable: its hypothesis that every specified number of edges has a common vertex is strictly a different condition from their being jointly pierceable by two vertices.

Consequently, the paper supplies the critical-core/ISP framework and quantitative bounds conditional on the unknown global value tt, but it neither proves f(k,7)=(3/4+o(1))kf(k,7)=(3/4+o(1))k nor proves the existence of constants crc_r. In particular, substituting t=Θ(k)t=\Theta(k) into Theorem 17 only yields an exponential-size bound on the critical core and gives no constraint on the coefficient of kk. The paper also works in a finite-hypergraph framework and does not address passage from the possibly infinite families allowed by E644's formulation.