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Turán problems and shadows I: Paths and cycles

Turán problems and shadows. I: Paths and cycles
Authors: Alexandr V. Kostochka; Dhruv Mubayi; Jacques Verstraëte;

Turán problems and shadows I: Paths and cycles

Abstract

A $k$-path is a hypergraph P_k = e_1,e_2,...,e_k such that |e_i \cap e_j| = 1 if |j - i| = 1 and e_i \cap e_j is empty otherwise. A k-cycle is a hypergraph C_k = e_1,e_2,.. ,e_k obtained from a (k-1)-path e_1,e_2,...,e_{k-1} by adding an edge e_k that shares one vertex with e_1, another vertex with e_{k-1} and is disjoint from the other edges. Let ex_r(n,G) be the maximum number of edges in an r-graph with n vertices not containing a given r-graph G. We determine ex_r(n, P_k) and ex_r(n, C_k) exactly for all k \ge 4 and r \ge 3 and $n$ sufficiently large and also characterize the extremal examples. The case k = 3 was settled by Frankl and F��redi. This work is the next step in a long line of research beginning with conjectures of Erd\H os and S��s from the early 1970's. In particular, we extend the work (and settle a recent conjecture) of F��redi, Jiang and Seiver who solved this problem for P_k when r \ge 4 and of F��redi and Jiang who solved it for C_k when r \ge 5. They used the delta system method, while we use a novel approach which involves random sampling from the shadow of an r-graph.

Keywords

paths, hypergraph Turán number, FOS: Mathematics, cycles, Mathematics - Combinatorics, Combinatorics (math.CO), 05, Hypergraphs, Paths and cycles, uniform hypergraphs

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
49
Top 10%
Top 10%
Top 10%
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hybrid