Immersions and Albertson’s Conjecture
Abstract
A graph is said to contain (a clique of size ) as a weak immersion if it has vertices, pairwise connected by edge-disjoint paths. In 1989, Lescure and Meyniel made the following conjecture related to Hadwiger’s conjecture: Every graph of chromatic number contains as a weak immersion. We prove this conjecture for graphs with at most vertices. As an application, we make some progress on Albertson’s conjecture on crossing numbers of graphs, according to which every graph with chromatic number satisfies . In particular, we show that the conjecture is true for all graphs of chromatic number , provided that they have at most vertices and is sufficiently large.
Keywords and phrases:
Immersions, crossing numbers, chromatic numberFunding:
Jacob Fox: supported by NSF Award DMS-2154129.Copyright and License:
![[Uncaptioned image]](x1.png)
2012 ACM Subject Classification:
Mathematics of computing CombinatoricsEditors:
Oswin Aichholzer and Haitao WangSeries and Publisher:

1 Introduction
There are several famous problems in graph theory which state that over all graphs of a given chromatic number, some graph parameter is minimized by a complete graph. Obviously, the chromatic number of a graph is at least its clique number. The converse is false, but partial converses have been of central interest in graph theory. Hadwiger’s conjecture states that every graph of chromatic number contains a -minor. Wagner proved in 1937 that the case is equivalent to the four color theorem. Hadwiger’s conjecture was verified for by Robertson, Seymour, and Thomas [22], and is open for . In the 1980’s, Kostochka [17] and Thomason [24] proved that every graph of chromatic number contains a -minor, where , which was improved to by Norin, Postle, and Song [20], and very recently, to by Delcourt and Postle [9].
In 1961, Hajós conjectured the following strengthening of Hadwiger’s conjecture: Every graph of chromatic number contains a subdivision of the complete graph , i.e., it has so-called “branch vertices” connected by internally vertex-disjoint paths. Hajós’ conjecture is true for , but for it was disproved by Catlin [8]. In fact, Erdős and Fajtlowicz [13] showed that almost all graphs are counterexamples (see also [14]). The conjecture remains open for .
Lescure and Meyniel [19] suggested a conjecture weaker than Hajós’, which may still be true for every . Instead of requiring that contains a subdivision of , they wanted to prove the existence of branch vertices connected by edge-disjoint paths. Moreover, these paths may pass through some branch vertices other than their endpoints. They called such a subgraph of a weak immersion of .
More precisely, a graph contains as a weak immersion if there is a mapping from , which maps each vertex of to a vertex in and each edge of to a path in such that
-
1.
, for distinct vertices ;
-
2.
for distinct edges , the paths and are edge-disjoint; and
-
3.
for each edge , is a path in with endpoints and .
If the following condition is also satisfied, we say that contains as a strong immersion.
-
4.
For each edge , the path intersects the set of branch vertices, , only at its endpoints.
In 1989, Lescure and Meyniel conjectured the following.
Conjecture 1 ([19]).
Every graph with chromatic number contains a weak immersion of the complete graph .
For the Lescure-Meyniel conjecture is an immediate corollary of Hajós’ conjecture. DeVos, Kawarabayashi, Mohar, and Okamura [11] verified Conjecture 1 for . Conjecture 1 remains open for . According to a result of Gauthier, Le, and Wollan [16], every graph with chromatic number contains a weak immersion of , where (see also [10, 12] for earlier bounds).
Our first result shows that the Lescure-Meyniel conjecture is true for graphs whose number of vertices is not much larger than its clique number.
Theorem 2.
If is a graph with chromatic number and at most vertices, then contains as a weak immersion.
As an application, we use Theorem 2 to obtain new bounds on an old conjecture of Albertson.
The crossing number of a graph , , is the smallest number of edge crossings in any drawing of in the plane. In 2007, Albertson conjectured the following.
Conjecture 3.
Every graph with chromatic number satisfies .
Clearly, Albertson’s conjecture is weaker than Hajós’ conjecture. Moreover, Conjecture 3 vacuously holds for , since and, for , Conjecture 3 is equivalent to the four color theorem. After a sequence of results [3, 6, 1], it is now known that Albertson’s conjecture holds for , but it is open for .
A graph is -critical if , and every proper subgraph of has chromatic number less than . A -critical graph is just a graph consisting of a single vertex. As holds for all subgraphs , it suffices to prove Albertson’s conjecture for -critical graphs. In [6], Barát and Tóth verified Conjecture 3 for all -critical graphs on at most vertices, and Ackerman [1] proved the conjecture for all -critical graphs with at least vertices. Our next result is the following.
Theorem 4.
There is a constant such that the following holds. If is sufficiently large, then every graph of chromatic number on vertices satisfies .
2 Weak immersion
In this section, we prove Theorem 2. First, let us recall the following lemma. A classic result due to Gallai states that if is a -critical graph on vertices, where , then the complement of is disconnected. This implies the following.
Lemma 5 ([15]).
Let be positive integers with . If is a -critical graph on vertices, then there is a vertex partition
where , such that is complete to , for , , and the induced subgraph is -critical with .
The chromatic index of a multigraph without loops is the minimum number of colors needed to properly color the edges of , i.e., to color them in such a way that no two edges that share a vertex receive the same color. A classical theorem of Shannon [23] states that every multigraph with maximum degree satisfies .
Proof of Theorem 2.
We may assume that , since otherwise we obtain a weak immersion of by [16]. By possibly deleting vertices and edges, we may assume without loss of generality that is -critical. Let so . By Lemma 5, there is a vertex partition , where , such that is complete to for each , and the induced subgraph is -critical for each with vertices. Hence, and . For each , arbitrarily partition with , so . Let .
In what follows, we will construct a weak immersion of with being the set of branch vertices. Moreover, we will use all edges in as paths of length one in the weak immersion. By the Gallai decomposition, each nonadjacent pair of vertices in has both of its vertices in for some . For each and vertex , let be a one-to-one function from the set of non-neighbors of in to the set of neighbors of in . Such a function exists as the degree of in is at least , as is -critical. If a nonadjacent pair of vertices in satisfies , then we connect and in the weak immersion by the path of length two with middle vertex . Moreover, these paths will be edge-disjoint as is one-to-one. See Figure 1a.
So far we constructed edge-disjoint paths (which are of length one or two) connecting some pairs of branch vertices. We next describe how we connect the remaining pairs of vertices in by paths, which will each be of length four. For a pair of nonadjacent vertices in with , we will pick a vertex and the path of length four connecting to will have the vertices in order as . We next describe how to pick the vertex for each such pair of nonadjacent vertices in the same with . See Figure 1b.
Make an auxiliary multigraph on as follows. For each nonadjacent pair with and , we add an edge between and in . Clearly, does not contain loops as we require . Since is one-to-one, the maximum degree in is at most . Being able to pick the desired vertex for each nonadjacent pair with , in order to obtain the desired paths of length four for the immersion, is equivalent to being able to properly color the edges of with color set . As , we have
where the last inequality follows from the fact that This implies that
On the other hand, by Shannon’s theorem, we have . By combining the last two inequalities above, we have , and therefore, we are able to find such a proper edge-coloring, completing the proof.
3 Albertson’s conjecture
In this section, we prove Theorem 4.
We recall an old conjecture of Hill, according to which the crossing number of the complete graph on vertices satisfies , where
It is known that by a particular drawing of . In the other direction, Balogh, Lidický, and Salazar [5] proved that is at least , for large enough . In particular, we have the following lemma.
Lemma 6 ([5]).
If is sufficiently large, then .
A related old conjecture of Zarankiewicz, is that . Towards this conjecture, Balogh et al. [4] recently proved the following result.
Lemma 7 ([4]).
If are sufficiently large, then .
Before turning to the proof of Theorem 4, as a warm-up, we establish the following useful asymptotic result.
Lemma 8.
Let be a graph on vertices with such that . Then
In particular, , as .
Proof.
Let be drawn in the plane with crossings. For a vertex of , let denote the degree of in . By Theorem 2, contains as a weak immersion. Let be the branch vertices of the immersion, and let be the path in used in the weak immersion with endpoints and .
Consider a drawing of in the plane, with vertices , where the edge between and is drawn along the path such that it goes around every branch vertex that is an internal vertex of . By going either clockwise or counterclockwise around a branch vertex , we can achieve that in the neighborhood of , the drawing of the edge between and participates in at most crossings. Apart from small neighborhoods of the branch vertices along the path , the drawing of the edge connecting to coincides with the drawing of . In particular, the drawing of the edge between and passes through every non-branch vertex that is an internal vertex of .
There are two types of crossings in this drawing of . All crossings that are already crossings in the original drawing of are of type 1, so there are at most of them. The remaining crossings are of type 2. They occur in small neighborhoods of vertices of . The latter crossings fall into two categories depending on whether they occur in a small neighborhood of a non-branch vertex or a branch vertex.
For non-branch vertices , the number of crossings in the drawing of at is at most , where denotes the number of paths in the immersion, in which is an internal vertex of the path . Note that , as is an internal vertex of at most edge-disjoint paths. Obviously, and there are at most non-branch vertices. Therefore, at non-branch vertices, the total number of crossings of type 2 is at most
For each of the branch vertices , there are paths ending at . Thus, is an internal vertex of at most paths . In the drawing of , the edge from to participates in at most crossings in the neighborhood of , by going either clockwise or counterclockwise around . Thus, in the neighborhoods of branch vertices, altogether there are at most
crossings of type 2.
Adding up the above two bounds and using our assumption that , we conclude that the total number of crossings in the drawing of , which occur in small neighborhoods of the vertices of is at most . Thus, we have produced a drawing of with fewer than crossings. Consequently, we have
as desired.
The well-known crossing lemma discovered by Ajtai, Chvátal, Newborn, Szemerédi [2] and independently, by Leighton [18], states that every graph with vertices and edges satisfies , where is an absolute constant. The constant has been improved by several authors. The currently best constant is due to Büngener and Kaufmann.
Lemma 9 ([7]).
Let be a graph on vertices with edges. If , then
We also need the following two simple lemmas.
Lemma 10 ([21]).
Let be a graph with edges, and let and be two nonadjacent vertices. Let denote the graph obtained by adding the edge . Then we have
Lemma 11.
Let be a graph on vertices with edges and be an integer. Then has an induced subgraph on vertices with at least edges.
Proof.
If we take a uniform random subset of vertices, the expected number of edges in is , and hence, there is an induced subgraph with at least that many edges.
We are now ready to prove Theorem 4. We first prove a variant for -critical graphs with at most vertices.
Theorem 12.
There is a constant such that for sufficiently large, every -critical graph on vertices satisfies .
Proof.
The proof is by induction on . The base case is trivial, as in this case . Let be a positive integer and suppose we have established the desired result for smaller nonnegative integer values of . Let be a large constant that will be specified later, and let be a -critical graph on vertices with . By Lemma 5 (Gallai’s theorem), has a vertex partition
into nonempty parts such that each is -critical with vertices with , and every pair of vertices in different parts are adjacent. In particular, we have and . Set , , and , say. We distinguish three cases.
Case 1.
There is a part with .
Add missing edges to , one at a time, until is complete. Each time we add an edge, we upper bound the increase of the crossing number by applying Lemma 10. As is -critical, each vertex in has degree at least . Hence, the number of nonadjacent pairs in is at most . In total, by making complete, we increase the crossing number by at most . The resulting graph , obtained by completing part , has vertices and is -critical with . Thus,
(1) | |||||
where in the last inequality we used that , , and
Applying the induction hypothesis to , we obtain
(2) |
Note that by averaging, we have
(3) | |||||
where in the last inequality we used Lemma 6.
Case 2.
There is a part with .
Applying Theorem 2 to , we obtain as a weak immersion in . By the proof of Lemma 8, the number of crossings between the edges used in this weak immersion is at least
(4) |
Furthermore, the proof of Theorem 2 shows that no matter how we partition part into with , the edges in are not used in the weak immersion. Note that has minimum degree at least , and hence, has at least edges. By Lemma 11, we can pick this partition so that the number of edges in is at least
As all three numbers , , and are sufficiently large, we have . Thus, we can apply Lemma 9 to obtain that
We obtain that
In the last inequality, we used that is sufficiently large, , , , and This completes the proof in Case 2.
Case 3.
Each part is either a singleton or satisfies and .
In this case, as , we must have at least one part that is not a singleton. Recall that and . For every for which is not a singleton, we have . Thus, the number of parts that are not singletons is smaller than , which implies that there are at most three non-singleton parts.
Let be the union of the singleton parts and . Since is the union of non-singleton parts , each of which is larger than , we have . The chromatic number of is . The chromatic number of , the subgraph of induced by , is smaller than . Using that is a vertex partition of , we obtain that the chromatic number of is larger than . As is a clique, we have .
It follows by averaging over all cliques of size in , just like in (3), that is a monotonically increasing function. Since it is bounded from above, it must converge. As , we obtain that
provided that is sufficiently large.
Notice that the clique and the complete bipartite graph between and are disjoint subgraphs of . Therefore, we get
Here the second inequality follows by substituting in the bound from Lemma 7 on the crossing number of complete bipartite graphs and using the bound The last inequality holds with , say, because
Proof of Theorem 4.
It suffices to prove the statement for -critical graphs as every graph of chromatic number has a -critical subgraph. So let be a -critical graph with chromatic number with vertices. If , then the statement already follows from Theorem 12. So we may assume .
Consider a proper -coloring of . Let . Let be the union of the largest color classes of this proper -coloring. Either each of these color classes has size at least two, or the remaining color classes forms a clique on vertices.
In the first case, , and the remaining induced subgraph after deleting has chromatic number . Let be the vertex set of a -critical subgraph of the induced subgraph on . Observe that
provided that , which holds as is sufficiently large. By Theorem 12, the induced subgraph on has crossing number at least , where is an absolute constant (We have seen that will do.) If , this induced subgraph already has crossing number at least
where we used . Otherwise, as is -critical, each vertex of has degree at least , and there at least edges not in . Let denote the subgraph of consisting of the edges of not in . Applying the crossing number bound (Lemma 9) to and using , we obtain that
Then
where we used .
In the second case, and the edges between and form a complete bipartite graph in with and . This complete bipartite graph has crossing number at least by Lemma 7. Together with the crossings between the edges of the clique of size , we obtain
4 Concluding remarks
One can improve the constant factor in Theorem 2, when is sufficiently large. This can be achieved by being more careful how we pick and the functions (recall in the proof of Theorem 2, these choices were made arbitrarily). Instead, it is better to make sure that the largest degree vertices in are in , while the remaining vertices in are chosen at random. If there is a pair for which and haven’t already been chosen, then we choose , to be equal. Once there is no such pair , we make the remaining choices for the functions uniformly at random. Vizing’s theorem [25] states that any multigraph with maximum degree and maximum edge multiplicity satisfies . A careful analysis of this procedure produces a considerably smaller bound on the maximum degree of than , and also gives that the maximum edge multiplicity of is . This can be proved through optimizing expected values and using standard concentration inequalities.
References
- [1] E. Ackerman. On topological graphs with at most four crossings per edge. Comput. Geom., 85:101574, 2019. doi:10.1016/J.COMGEO.2019.101574.
- [2] M. Ajtai, V. Chvátal, M. Newborn, and E. Szemerédi. On topological graphs with at most four crossings per edge. Annals of Discrete Mathematics, 12:9–12, 1982.
- [3] M. O. Albertson, D. W. Cranston, and J. Fox. Crossings, colorings, and cliques. Electron. J. Combin., 16:11 pp., 2009.
- [4] J. Balogh, B. Lidický, S. Norin, F. Pfender, G. Salazar, and S. Spiro. Crossing numbers of complete bipartite graphs. Procedia Comput. Sci., 223:78–87, 2023. doi:10.1016/J.PROCS.2023.08.216.
- [5] J. Balogh, B. Lidický, and G. Salazar. Closing in on Hill’s conjecture. SIAM J. Discrete Math., 33:1261–1276, 2019. doi:10.1137/17M1158859.
- [6] J. Barát and G. Tóth. Towards the Albertson conjecture. Electron. J. Combin., 17:1, 2010.
- [7] A. Büngener and M. Kaufmann. Improving the crossing lemma by characterizing dense 2-planar and 3-planar graphs. arxiv:2409.01733, 17:1, 2024.
- [8] P. Catlin. Hajós’ graph-coloring conjecture: variations and counterexamples. J. Combin. Theory Ser. B, 26:268–274, 1979. doi:10.1016/0095-8956(79)90062-5.
- [9] M. Delcourt and L. Postle. Reducing linear Hadwiger’s conjecture to coloring small graphs. arXiv:2108.01633, 2021.
- [10] M. DeVos, Z. Dvořák, J. Fox, J. McDonald, B. Mohar, and D. Scheide. Minimum degree condition forcing complete graph immersion. Combinatorica, 34:279–298, 2014. doi:10.1007/S00493-014-2806-Z.
- [11] M. DeVos, K. Kawarabayashi, B. Mohar, and H. Okamura. Immersing small complete graphs. Ars Math. Contemp., 3:139–146, 2010. doi:10.26493/1855-3974.112.B74.
- [12] Z. Dvořák and L. Yepremyan. Complete graph immersions and minimum degree. J. Graph Theory, 88:211–221, 2018. doi:10.1002/JGT.22206.
- [13] P. Erdős and S. Fajtlowicz. On the conjecture of Hajós. Combinatorica, 1:141–143, 1981. doi:10.1007/BF02579269.
- [14] J. Fox, C. Lee, and B. Sudakov. Chromatic number, clique subdivisions, and the conjectures of Hajós and Erdős–Fajtlowicz. Combinatorica, 33:181–197, 2013. doi:10.1007/S00493-013-2853-X.
- [15] T. Gallai. Kritische Graphen II. Publ. Math. Inst. Hungar. Acad. Sci., 8:373–395, 1963.
- [16] G. Gauthier, T.-N. Le, and P. Wollan. Forcing clique immersions through chromatic number. European J. Combin., 81:98–118, 2019. doi:10.1016/J.EJC.2019.04.003.
- [17] A. V. Kostochka. Lower bound of the Hadwiger number of graphs by their average degree. Combinatorica, 4:307–316, 1984. doi:10.1007/BF02579141.
- [18] T. Leighton. Complexity Issues in VLSI. Foundations of Computing Series, MIT Press, Cambridge, MA, 1983.
- [19] F. Lescure and H. Meyniel. On a problem upon configurations contained in graphs with given chromatic number. Ann. Discrete Math., 41:325–331, 1989.
- [20] S. Norin, L. Postle, and Z. Song. Breaking the degeneracy barrier for coloring graphs with no minor. Adv. Math., 422:109020, 2023.
- [21] J. Pach and G. Tóth. Thirteen problems on crossing numbers. Geombinatorics, 9:194–207, 2000.
- [22] N. Robertson, P. Seymour, and R. Thomas. Hadwiger’s conjecture for -free graphs. Combinatorica, 13:279–361, 1993.
- [23] C. E. Shannon. A theorem on coloring the lines of a network. J. Math. Phys., 28:148–152, 1949.
- [24] A. Thomason. An extremal function for contractions of graphs. Math. Proc. Cambridge Philos. Soc., 95:261–265, 1984.
- [25] V. G. Vizing. The chromatic class of a multigraph. Kibernetika, 3:29–39, 1965.