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Lagrangian densities of enlargements of matchings in hypergraphs. (English) Zbl 1433.05238

Summary: Determining the Turán density of a hypergraph is a central and challenging question in extremal combinatorics. We know very few about the Turán densities of hypergraphs. Even the conjecture given by Turán on the Turán density of \(K_4^3\), the smallest complete hypergraph remains open. It turns out that the hypergraph Lagrangian method, a continuous optimization method has been helpful in hypergraph extremal problems. In this paper, we intend to explore this method further, and try to understand the Turán densities of hypergraphs via Lagrangian densities.
Given an integer \(n\) and an \(r\)-uniform graph \(H\), the Turán number of \(H\), denoted by \(\operatorname{ex}(n, H)\), is the maximum number of edges in an \(n\)-vertex \(r\)-uniform graph without containing a copy of \(H\). The Turán density of \(H\), denoted by \(\pi (H)\), is the limit of the function \(\frac{ e x ( n , H )}{ \binom{n}{r}}\) as \(n \rightarrow \infty \). The Lagrangian density of \(H\) is \(\pi_\lambda ( H ) = \sup \{ r ! \lambda ( F ) : H\text{ is not contained in }F \}\), where \(\lambda (F)\) is the Lagrangian of \(F\). For any \(r\)-uniform graph \(H\), A. F. Sidorenko [Math. Notes 41, 247–259 (1987; Zbl 0677.05064); translation from Mat. Zametki 41, No. 3, 433–455 (1987)] showed that \( \pi_\lambda (H)\) equals the Turán density of the extension of \(H\). So researching on Lagrangian densities of hypergraphs is helpful to better understand the behavior of the Turán densities of hypergraphs. For a \(t\)-vertex \(r\)-uniform graph \(H, \pi_\lambda ( H ) \geq r ! \lambda ( K_{t - 1}^r )\) since \(K_{t - 1}^r\) doesn’t contain \(H\), where \(K_{t - 1}^r\) is the \(( t - 1 )\)-vertex complete \(r\)-uniform graph. We say that \(H\) is \(\lambda \)-perfect if the equality holds, i.e., \( \pi_\lambda ( H ) = r ! \lambda ( K_{t - 1}^r )\). A result given by T. S. Motzkin and E. G. Straus [Can. J. Math. 17, 533–540 (1965; Zbl 0129.39902)] shows that every graph is \(\lambda \)-perfect. It is natural and fundamental to explore which hypergraphs are \(\lambda \)-perfect. In [Combinatorica 9, No. 2, 207–215 (1989; Zbl 0732.05031)], A. F. Sidorenko showed that the \(( r - 2 )\)-fold enlargement of a tree satisfying the Erdős-Sós conjecture with order at least \(A_r\) is \(\lambda \)-perfect, where \(A_r\) is the last maximum of the function \(g_r ( x ) = ( r + x - 3 )^{-r} \prod_{i = 1}^{r - 1} ( i + x - 2 )\) as \(x \geq 2\). By using the so-called generalised Lagrangian of hypergraphs, M. Jenssen [Continuous optimisation in extremal combinatorics. London: London School of Economics and Political Science (PhD Thesis) (2017)] showed that the \(( r - 2 )\)-fold enlargement of \(M_2^2\) for \(r = 5\), 6 or 7 is \(\lambda\)-perfect, where \(M_s^r\) is the \(r\)-uniform matching of size \(s\). The result given by Sidorenko [1989, loc. cit.] implies that the \(( r - 2 )\)-fold enlargement of \(M_t^2\) for \(r = 5\) and \(t \geq 4\), or \(r = 6\) and \(t \geq 6\), or \(r = 7\) and \(t \geq 8\) is \(\lambda \)-perfect. So there are still some gaps between the results of Jenssen [loc. cit.] and Sidorenko [loc. cit.]. In this paper we fill the gaps for \(r = 5\) or 6. We also determine the Lagrangian densities for the \(( r - 3 )\)-fold enlargement of \(M_t^3\) for \(r = 5\) or 6.

MSC:

05C65 Hypergraphs
05D05 Extremal set theory
05C35 Extremal problems in graph theory
05C70 Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.)
Full Text: DOI

References:

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