An Erd\H{o}s-Gallai-type theorem for keyrings
Alexander Sidorenko

TL;DR
This paper proves a new Erdős-Gallai-type theorem establishing that graphs with sufficiently high average degree contain specific keyring subgraphs with leaves and a minimum number of edges.
Contribution
It introduces a novel theorem characterizing the existence of keyring subgraphs in graphs based on average degree constraints.
Findings
Graphs with average degree > k-1 contain keyrings with r leaves and at least k edges.
The theorem applies for all r ≤ (k-1)/2.
Provides a new extremal condition for keyring subgraphs.
Abstract
A keyring is a graph obtained by appending leaves to one of the vertices of a cycle. We prove that for every , any graph with average degree more than contains a keyring with leaves and at least edges.
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Taxonomy
TopicsGraph Labeling and Dimension Problems · Limits and Structures in Graph Theory · Advanced Graph Theory Research
11institutetext: A. Sidorenko ORCID: 0000-0002-1755-4013 22institutetext: 16 Sunrise Drive, Armonk, NY 10504, USA
22email: [email protected]
An Erdős–Gallai-type theorem for keyrings
Alexander Sidorenko
Abstract
A keyring is a graph obtained by appending leaves to one of the vertices of a cycle. We prove that for every , any graph with average degree more than contains a keyring with leaves and at least edges.
Keywords:
Erdős–Gallai theorem, Erdős–Sós conjecture
MSC:
05C35, 05C05
1 Introduction
The graphs considered in this paper are simple and undirected. The sets of vertices and edges of a graph are denoted by and , respectively. Their sizes are and . For , we denote by the set of vertices adjacent to in , and is the degree of . For a subset of vertices , the number of edges of with at least one end in is denoted by .
Let be the class of all graphs whose average degree is strictly more than . In other words, if . Erdős and Gallai proved the following two statements.
Theorem 1.1 (Theorem 2.6 EG )
Any graph contains a path of edges.
Theorem 1.2 (Theorem 2.7 EG )
Any graph contains a cycle with at least edges.
In fact, the statement of Theorem 2.7 in EG is even stronger: an -vertex graph without cycles of length (or more) has at most edges, and less than that if is not a multiple of . Faudree and Schelp Faudree and independently Kopylov Kopylov determined (for every and ) the largest number of edges in an -vertex graph without a -edge path. They also described the extremal graphs. Kopylov Kopylov did the same for 2-connected graphs without cycles of length and more.
Together, Theorem 1.1 and a simple observation that every graph contains a star with edges, led to the following conjecture formulated by Erdős and Sós (see Erd ).
Erdős–Sós Conjecture. *Any graph contains every tree with edges. *
Let be the class of -edge trees such that every contains as a subgraph. The Erdős–Sós conjecture states that all -edge trees belong to . Ajtai, Komlós, Simonovits, and Szemerédi AKSS1 ; AKSS2 ; AKSS3 proved that there exists such that the conjecture holds for all . Still, the general case has not been solved, and only partial results have been obtained.
A spider is a tree obtained from disjoint paths of lengths by combining their starting vertices into one. The combined vertex has degree and is called the center. Obviously, is just a path of length . Woźniak Woz proved that if . Fan and Sun FS proved that when or . Very recently, Fan, Hong and Liu FHL proved that all spiders belong to . McLennan McL proved that when is a tree of diameter 4.
It was mentioned in Section 3 of Mos that Perles proved the Erdős–Sós conjecture for caterpillars (those are trees which do not contain as a subgraph). The proof was published in Kalai only recently.
A vertex which is adjacent to a leaf is called a preleaf. It was proved in Sid that if a tree has a preleaf which is adjacent to at least leaves then . We will prove in Section 2 a stronger statement:
Theorem 1.3
If a tree with edges has preleaves and one of them is adjacent to at least leaves then .
Trees and cycles are not the only subgraphs whose existence can be deduced from the graph’s average degree. As a referee of this paper pointed out, it was Turán who formulated the very problems for which the Erdős–Gallai theorems provide the answers. He asked the maximal number of edges in an -vertex graph which does not contain a lasso, that is a cycle and a path having one common vertex. Fan and Sun FS solved the lasso problem (but did not formulate their result explicitly) within the proof of their Theorem 3.1. In this paper, we consider a similar forbidden pattern. A keyring is a -edge graph obtained from a cycle of length by appending leaves to one of its vertices. This vertex has degree and is called the center of the keyring. In Section 3, we prove an analog of Theorem 1.2 for keyrings:
Theorem 1.4
For any positive integer , every graph contains a keyring with leaves and at least edges.
A graph is called -minimal if it belongs to but none of its proper subgraphs belongs to . Obviously, any graph from contains a -minimal subgraph. Thus, in proofs of Theorems 1.4, 1.3 and similar statements, instead of considering all graphs , it is sufficient to consider only those which are -minimal. The main help comes from the simple observation:
Remark 1
If a graph is -minimal then for any subset of vertices the number of edges of with at least one end in is strictly more than .
2 Proof of Theorem 1.3
Let denote the largest number of leaves connected to a single preleaf in , denote the set of leaves of , and denote the set of preleaves. In this proof, we will keep fixed and use induction in . The basis of induction is the case . In this case, is a star and belongs to . Now we are going to prove the inductive step. Suppose that and the statement of the theorem holds for all trees where . (We will make use of the assumption later.)
Consider a -minimal graph . We need to show that contains as a subgraph. Let be a preleaf of with leaves. Let be another preleaf of (since , is not a star and has at least two preleaves). Now we disconnect in one of the leaves attached to and reconnect it to instead. The resulting tree has edges and . Since , we have , and by the induction hypothesis, must contain a copy of . We are going to transform this copy of into a copy of by changing the assignment of leaves to the preleaves. From now on, we will assume that is a subset of , and is a subset of . We define three non-overlapping sets of vertices: , , . Notice that in might remain a preleaf or become a leaf or neither. In any case, we want to ensure that belongs to and not to . Thus, , . Consider a bipartite directed graph whose vertex set is with directed edges of two types:
where , and ; and 2. 2.
where , , and are adjacent in (which means that leaf is connected to preleaf ).
If there exists a path in from either to or to , we will be able to find a copy of in . Indeed, let be a simple path where , , , and , are adjacent in . Then we can add to vertex as well as edges for , remove edges for and remove one of the leaves connected to . The resulting subgraph of is a copy of .
Similarly, let be a simple path where , , , and , are adjacent in . Then we can add to edges for and remove edges for . The resulting subgraph of is a copy of .
Finally, consider the case when is unreachable from in . We split A into two subsets: consists of the vertices that are reachable from in , and consists of the rest. Obviously, and . Let be the set of leaves that are attached to . There are no edges in between and . Since and , then for any we can estimate:
[TABLE]
Using , we get
[TABLE]
which, according to Remark 1, contradicts the -minimality of . ∎
3 Proof of Theorem 1.4
Lemma 1
Fix integers and . Let be a Hamiltonian graph with vertices, and be one of them. If then there exists such that contains a copy of with the center at .
Proof
Let be a Hamiltonian cycle in . Suppose first that . Since , we get and which is impossible. Therefore, we may assume . Denote
[TABLE]
[TABLE]
[TABLE]
Clearly, when , and when . Thus, and . Note that
[TABLE]
Thus, there exist where . If then . In this case, is adjacent to and belongs to the cycle whose length is . This produces a copy of with the center at where . Alternatively, if then . In this case, is adjacent to and belongs to the cycle whose length is . This produces a copy of with the center at where . ∎
Proof of Theorem 1.4 We are going to show that any -minimal graph contains a copy of . By Theorem 1.2, contains a cycle of length . Let . Then where and for . According to Remark 1,
[TABLE]
Thus, there is such an index that . If then contains a copy of with the center at . Suppose . Let be the subgraph of induced by . We are going to apply Lemma 1 with parameters and . To be able to invoke it, we need to demonstrate that and
[TABLE]
Indeed, on one hand, since , we get . On the other hand, since , we get . Also, implies . By Lemma 1, contains a copy of with the center at where and . Now we use the vertices from to extend it to a copy of where . ∎
Acknowledgements.
The author would like to thank the referees for their suggestions and comments.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1(1) Ajtai M., Komlós J., Simonovits M., Szemerédi E.: On the approximative solution of the Erdős–Sós conjecture on trees (manuscript)
- 2(2) Ajtai M., Komlós J., Simonovits M., Szemerédi E.: Some elementary lemmas on the Erdős–Sós conjecture for trees (manuscript)
- 3(3) Ajtai M., Komlós J., Simonovits M., Szemerédi E.: The solution of the Erdős–Sós conjecture for large trees (manuscript)
- 4(4) Erdős P.: Extremal problems in graph theory. In: Fiedler M. (ed.) Theory of Graphs and its Applications, pp. 29–-36. Academic Press (1965)
- 5(5) Erdős P., Gallai T.: On maximal paths and circuits of graphs. Acta Math. Acad. Sci. Hungar. 10, 337–-356 (1959)
- 6(6) Fan G., Sun L.: The Erdős–Sós conjecture for spiders. Discrete Math. 307, 3055–-3062 (2007)
- 7(7) Fan G., Hong Y., Liu Q.: The Erdős–Sós conjecture for spiders. https://arxiv.org/pdf/1804.06567.pdf (2018). Accessed 19 April 2018
- 8(8) Faudree R. J., Schelp R. H.: Path Ramsey numbers in multicolorings. J. Combin. Theory B 19, 150–-160 (1975)
