The Down-Arrow Ramsey Set of a Graph

Alexis Byers1, Drake Olejniczak2
1Department of Mathematics, Youngstown State University 1 University Plaza, Youngstown, Ohio, 44555
2Department of Mathematics, Purdue University Fort Wayne 2101 E Coliseum Blvd, Fort Wayne, IN 46805

Abstract

A graph G is said to arrow the graphs F and H, written G(F,H), if every red-blue coloring of G results in a red F or a blue H. The primary question has been determining graphs G for which G(F,H). If we consider the version for which F=H, then we can ask a different question: Given a graph G, can we determine all graphs F such that G(F,F), or simply GF? We call this set of graphs the down-arrow Ramsey set of G, or G. The down-arrow Ramsey set of cycles, paths, and small complete graphs are determined. Graph ideals and graph intersections are introduced and a method for computing down-arrow Ramsey sets is described.

1. Introduction

In this paper we are only concerned with simple undirected graphs with finite number of vertices. We follow [1] for all notation not described here. As usual, the complete graph on n vertices is denoted Kn, and the complete bipartite graph whose partite sets have order s and t is denoted Ks,t. We use the notation K2,t+uv to mean the graph obtained from K2,t by adding an edge between the vertices in the partite set of order 2. For two graphs G and H, the union of G and H, denoted GH, is the graph with V(GH)=V(G)V(H) and E(GH)=E(G)E(H). For some k2, the union of k copies of a graph G is denoted kG. The join of two graphs G and H, written GH, is the graph obtained from GH by adding all edges between vertices of G and vertices of H.

We are mostly concerned with colorings of the edges of a graph using two colors. We follow the convention that the two colors used are red and blue and refer to such colorings as red-blue colorings of G. Given a red-blue coloring C of G, the graphs induced by the red and blue edges are denoted Gr and Gb, respectively.

A graph G is said to arrow the graphs F and H, denoted G(F,H) if every red-blue coloring of G has the property that either F is isomorphic to a subgraph of Gr or H is isomorphic to a subgraph of Gb. The Ramsey number of F and H, denoted R(F,H), is the smallest positive integer n for which Kn(F,H). The existence of such a number is guaranteed by the classical result of Frank Ramsey [2]. The Ramsey number just described is referred to as a Classical Ramsey Number and has been extensively studied. As well, a number of variations of the topic have been introduced (see [3] for a dynamic survey of Ramsey theory by Radzisowski).

Of particular interest in Ramsey theory are the diagonal Ramsey numbers, that is, Ramsey numbers of the form R(F,F) for a graph F. It is well known that R(K3,K3)=6, and Greenwood and Gleason proved R(K4,K4)=18 in 1955 [4]. The Ramsey number R(K5,K5) is, at the date of this writing, still unknown. However, it is known that 43R(K5,K5)48 (see [5] and [6] for the lower and upper bounds respectively). While we offer no new bounds on this Ramsey number, we introduce a concept in order to approach diagonal Ramsey numbers from a new perspective.

Here, rather than find the smallest integer n for which Kn(H,H), we instead fix a graph G and find all graphs H for which G(H,H), or simply GH. For example, it is known that R(C4,C4)=6 [7]. It follows that every red-blue coloring of K7 contains a monochromatic C4. As well, R(K3,K3)=6. So, every red-blue coloring of K7 contains a monochromatic K3. Of course, all subgraphs of K3 and C4 must also appear in either the red or blue subgraph in any coloring of K7. We ask the question: Is this a complete list? What graphs, that do not fit into common families of graphs covered by the Radzisowski survey, are missing when we consider every red-blue coloring of K7? We approach this problem through the lens of order theory by first considering the partially ordered set (poset) of graphs which are subgraphs of some graph G. This generalizes the work of Steinbach [8] who determined the poset of graphs for Kn when n8. See also [9] for this poset when n=9.

We determine the down-arrow Ramsey set for several classes of graphs G, in particular, when G is a cycle or a path of any order and when G is a complete graph of order n7. As a consequence of our results for complete graphs, we have determined all graphs with Ramsey number at most n for all n7.

2. The Down-Arrow Ramsey Set of a Graph

For a fixed graph G, we define the down-arrow Ramsey set of G, denoted G, as the set of graphs H for which GH. that is, G={HG : GH}.

From this definition, the connection to traditional Ramsey theory is immediate.

Observation 1. Let G be a graph without isolated vertices. Then, R(G,G)=n if and only if n is the smallest positive integer for which G Kn.

Additionally, some properties of inclusion follow from the definition of the down-arrow Ramsey set.

Observation 2. If HG, then H G.

Observation 3. If H G, then F G for all FH.

Observation 3 offers a method for describing the down-arrow Ramsey set. that is, we identify the maximal elements of G so that all elements of the set are guaranteed to be subgraphs of one of the maximal elements. Hence, we borrow language from order theory in order to formalize this idea. Given a graph G, let G be the set of all isomorphism classes of graphs which are subgraphs of G. This set forms a partially ordered set under the relation “is isomorphic to a subgraph of”, which we denote ““. Now, if G is a graph of order n, then GKn, and hence GKn. Noting Observation 3, we see that G is downwardly closed. Further, any two graphs F and H in G have a common supergraph in G, namely G. This establishes the following observation.

Observation 4. The partially ordered set G is an order ideal of the partially ordered set Kn.

Being the smallest poset that contains G, G is called the principle ideal generated G, which we refer to as a graph ideal. So, we can describe G as a union of graph ideals. However, the use of order theory here is not superficial. Our main method for determining the down-arrow Ramsey set relies on viewing red-blue colorings of a graph as unions of graph ideals.

Observation 5. If C is a red-blue coloring of a graph G, with red subgraph GR and blue subgraph GB, then GGRGB.

In determining G, it is necessary to consider multiple red-blue colorings of a graph G. The following observation comes from applying Observation 5 to more than one red-blue coloring of G. Notice here that we can think of a coloring C as the union of ideals generated by its red and blue subgraphs, i.e. C=GrGb.

Observation 6. Suppose C1,C2,Ck are k red-blue colorings of the graph G, in which each Ci decomposes G into GRi and GBi. Then Gi=1kCi=i=1k(GriGbi)

In fact, even more can be said. If we take as our collection of colorings the set of all red-blue colorings of G, then this intersection is exactly G. Indeed, if a graph H is not in G, then there must be some coloring C for which HGr and HGb. This establishes the following proposition.

Proposition 1. Given a nonempty graph G on n2 vertices, there exists a finite set set of colorings {Ci}i=1k of G for which G=i=1kCi=i=1k(GriGbi).

Proposition 1 reveals that we need only develop an efficient method for reducing intersections of graph ideals as unions of graph ideals. However, the set of all red-blue colorings can be quite large, even for small order graphs, and so it would be computationally difficult to consider all of them. Instead, for a given graph G we seek to determine a small number of colorings of G for which an application of Proposition 1 reveals exactly G. However, this implies that we must first find the maximal elements of G through traditional means. The main use for Proposition 1 is then to show that we have actually identified the maximal elements, that is, that there are no other elements in G.

With these considerations, it was necessary to develop a rigorous method for determining graph ideal intersections by hand. Some ideal intersections are obvious, while others require more work. Most intersections used in this paper can be approached by drawing Hasse diagrams, an example of which is shown below. In more general situations, such as Cn, explanations are given for the non-trivial intersections used and are presented as lemmas. The following observation is useful for simplifying graph ideal intersections.

Proposition 2. Let G and H be graphs with HG. Then HG=H

Next, we see an example of how Hasse diagrams may be used to compute intersections of specific graphs. This is a convenient point to mention that in the determination of graph ideal intersections we do not write the isolated vertices in any ideal intersection. Since all red-blue colorings are of a particular graph, in the next example K6, it may be assumed that all graphs have the same number of vertices as the host graph.

Example 1. We determine the graph ideal intersections below.

  1. K2,4+uvK5=K2,3+uv

  2. K3,3K2,3+uv=K2,3

  3. K3,3K4=K1,3K2,2

  4. K3K3K2,3+uv=K32K2

  5. K3K3K4=K32K2

  6. K2,3f5=K2,3e

Here, f5 is the fan graph on 6 vertices obtained by joining a vertex to a P5. Equivalently, f5P5K1.

In each of the following diagrams, let double arrows represent vertex-deleted subgraphs, single arrows represent edge-deleted subgraphs, and dashed lines indicate a graph in the Hasse diagram where a subgraph of the arrow’s tail appears.

Figure 1: Diagrams Demonstrating (1) – (6)

As depicted in the diagram (a), we can determine intersection (1) by first writing K2,4+uv. Since K5 has only 5 vertices while K2,4+uv has 6, we are able to consider vertex-deleted subgraphs of K2,4+uv and be sure that no intermediate graphs will be subgraphs of K5. Up to isomorphism, there are only two options for these vertex-deleted subgraphs. Both resulting subgraphs are subgraphs of K5. Since K1,4 is also a subgraph of K2,3+uv, it is clear that this intersection is generated by K2,3+uv. In diagrams (b) and (c) and (d), we follow a similar process. Diagrams (b) and (c) show that we can determine multiple intersections with the same diagram. Care must be taken in diagram (c) since we use both vertex- and edge-deleted subgraphs. Generally, we consider vertex-deleted subgraphs until the order of the subgraphs match the order of the graph with which we are intersecting. We then consider edge-deleted subgraphs.

3. The Down-Arrow Ramsey Sets of Paths and Cycles

In this section, we determine the down-arrow Ramsey sets of cycles and paths. First we consider cycles of even order.

Theorem 7. The down-arrow Ramsey set Cn=n4K2 for all even n4.

Proof. First, consider the red-blue coloring of Cn for which the red and blue subgraphs are both Pn2+1. Thus, if G Cn, then GPn2+1. Additionally, consider the red-blue coloring of the edges of Cn such that both the red and blue subgraphs are n2 disjoint copies of K2. This implies that if G∈↓Cn, then G(n2)K2. Therefore, if G∈↓Cn, then these two requirements imply that in fact Gn4K2.

Now, we show that n4K2 Cn. Let there be any red-blue coloring of Cn. Then, there must be at least n2 edges of the same color. Say there are kn2 blue edges. Then at least k2 of these edges are independent, which implies that there are at least k2n4 independent blue edges. Therefore, we have a monochromatic n4K2◻

Next, we determine Cn for odd n, which proves more difficult than even n. We consider the case when n=3 separately.

Proposition 3. The down-arrow Ramsey set C3=P3.

Proof. Suppose there is a red-blue coloring of C3 whose color classes are Gr and Gb. Since C3 has 3 edges, it follows that some color class has at least two edges. Without loss of generality, assume that Gr has two edges. Then we have two adjacent red edges, hence a red P3. This shows P3 C3. For the reverse inclusion, let G K3. The red-blue coloring of C3 with P3 as the red subgraph and K2 as the blue subgraph shows that either GP3 or GK2. Hence, GP3◻

Now, we show that P3n34K2 and n4K2 are in the down-arrow Ramsey set of all odd cycles of order n5.

Lemma 1. For all odd n5, P3n34K2n4K2 Cn.

Proof. It follows from a similar argument from above that n4K2 Cn for odd n as well.

To show that P3n34K2 must be in Cn, we consider two cases, depending on the order of Cn modulo 4.

Case 1: Suppose n=4k+1, for k1. Note that n34=k1 in this case, so we are aiming to show that P3(k1)K2 Cn. Let there be a red-blue coloring of Cn. We know that there are at least n2=2k+1 edges of one color. Without loss of generality, say there are at least 2k+1 blue edges. Of these blue edges, at least k+1 of them are independent. Let S={e1,e2,ek,ek+1} be a set of k+1 independent blue edges.

Since the independence number of Cn is n2=2k, then we know there are at most 2k independent blue edges. Hence, there are at least two blue edges that are adjacent to each other. Label these edges as a and b, and label the other edges adjacent to a and b to be c and d respectively. Notice that at most two of the four edges a, b, c, d are in the set S of independent blue edges. Thus, if k>1, then there are still at least k1 independent blue edges that are not a, b, c, or d. Therefore these independent edges together with a and b form a blue P3(k1)K2. If k=1, then we have formed a blue P3 with edges a and b, which follows the statement of the lemma.

Case 2: Suppose n=4k+3, for k1. Here we have n34=k in this case, so we need to show that P3kK2 Cn. Let there be a red-blue coloring of Cn. We must have at least n2=2k+2 edges of one color, say blue. Of these blue edges, we have that at least k+1 of them are independent and at most n2=2k+1 of them are independent.

Notice that if there are at least k+2 independent blue edges, then we could use the same argument in the previous case to show that there must be a blue P3kK2. Assume that there are exactly k+1 independent blue edges, and let S={e1,e2,,ek,ek+1} be the set of all independent blue edges. Since there are at least 2k+2 blue edges, this means that there are at least k+1 blue edges that are adjacent to one or more blue edges in S. It follows that there must be at least one blue edge that is adjacent to exactly one edge in S. Call this edge f, and suppose it is adjacent to ej, 1jk+1. Thus, the set of edges Sej forms a blue kK2 and f and ej together form a blue P3. Therefore, we have a blue P3kK2◻

Using three red-blue colorings of an odd cycle and intersections of the ideals generated by their red and blue subgraphs, we show that any graph in the down-arrow Ramsey set of an odd cycle Cn must be a subgraph of P3n34K2 or n4K2 to finish the following theorem. In order to justify the graph ideal intersection used in the proof of the theorem, we present the following two lemmas.

Lemma 2. Let n5 be an odd positive integer, then

(n32)K2P3Pn12P3=n14K2P3.

Proof. Let G1=(n32)K2P3 and G2=Pn12P3. It is clear that the reverse inclusion holds. For the forward inclusion, let HG1G2 and notice that the edge independence number of G2 is n14+1=n+34. Hence, the edge independence number of H is at most n+34. Since H is also a subgraph of G1 it follows that H is a subgraph of n+34K2 or a subgraph of n14K2P3. Since n+34K2 is a subgraph of the latter graph, the result holds. ◻

Lemma 3. Let n5 be an odd positive integer, then

Pn+32n14K2P3=n+34K2n34K2P3.

Proof. Let G1=Pn+32 and G2=n14K2P3. It is clear that the reverse inclusion holds. For the forward inclusion, we consider two cases depending on whether n1(mod4) or n3(mod4).

Case 1: Suppose n=4k+1, for k1. In this case G1=P2k+2 and G2=kK2P3. Notice that deleting any edge of G2 yields either (k+1)K2 or (k1)K2P3 and that each of these is a subgraph of P2k+2, while G2 itself is not. Finally, notice that k1=n54=n34 and k+1=n+34 when n=4k+1.

Case 2: Suppose n=4k+3, for k1. In this case G1=P2k+3 and G2=kK2P3. Hence, G2G1 and so G2G1=G2. However, n+34K2=(k+1)K2 and n34K2P3=kK2P3. Since (k+1)K2kK2P3=G2, the result holds here as well. ◻

Theorem 8. The down-arrow Ramsey set Cn=P3n34K2n4K2 for all odd n5.

Proof. Due to Lemma 1, it suffices to show that CnP3n34K2n4K2.

Consider the following three red-blue colorings of Cn:

  • C1: Gr1Pn+12,Gb1Pn+32

  • C2: Gr2(n12)K2,Gb2(n32)K2P3

  • C3: Gr3Pn32P3,Gb3Pn12P3

Notice first that Gr1Gb1, Gr2Gb2, and Gr3Gb3. Hence, for odd n, CnC1C2C3=Gb1Gb2Gb3=Pn+32((n32)K2P3Pn12P3)=Pn+32n14K2P3=n+34K2n34K2P3

Finally, notice that when n is odd, n+34=n4◻

By using a similar argument as was used for cycles, we can see that there must be a monochromatic n14K2 in every red-blue coloring of Pn. This tells us that n14K2 Pn. In fact, we can also show that anything in the down-arrow Ramsey set of Pn must be in n14K2, giving us the following result.

Proposition 4. The down-arrow Ramsey set Pn=n14K2 for all n3.

Proof. We can see that n14K2 Pn. Now, let G be a graph in the down-arrow Ramsey set of Pn. We will use two red-blue colorings of Pn to show Gn14K2.

For ease of notation, let k=n12 and k=n12. Consider the red-blue coloring of the edges of Pn for which the red subgraph is Pk+1 and the blue subgraph is Pk+1. This implies that GPk+1. Additionally, consider the red-blue coloring of the edges of Pn for which the red subgraph is (k)K2 and the blue subgraph is kK2. This coloring suggests that we also have GkK2. Hence,

GPk+1kK2=k2K2=n14K2.

Therefore we have Pn=n14K2◻

4. The Down-Arrow Ramsey Sets of Complete Graphs

In this section, we investigate the down-arrow Ramsey sets of complete graphs up to order 8. This section has the most connection to traditional Ramsey theory. Recall that in calculating the down-arrow Ramsey set of Kn, we are able to describe all graphs G for which R(G,G)n for n8.

Since there are no nonempty proper subgraphs of K2, we observe the following:

Observation 9. The down-arrow Ramsey set K2=K2¯.

Since C3=K3, we already know that the down-arrow Ramsey set K3=P3 from Lemma 3. Next, we consider the complete graph on four vertices.

Proposition 5. The down-arrow Ramsey set K4=P3.

Proof. By Proposition 3 it follows that P3 K4. To see the reverse inclusion, consider the following two red-blue colorings of the edges of K4.

  1. Gr1Gb1P4

  2. Gr2K3, Gb2K1,3

So, K4(K3K1,3)P4=(K3P4)(K1,3P4)=P3P3=P3 Thus, K4=P3, as desired. ◻

Proposition 6. The down-arrow Ramsey set K5=P4.

Proof. We first show that P4 K5. Assume to the contrary that there is a red-blue coloring of K5 that avoids a monochromatic P4. Label the vertices of K5 by v1,v2,v3,v4, and v5. By Proposition 5, we are guaranteed a monochromatic P3. So, we may assume that v1v2 and v2v3 are red edges. If any of the edges v1v4,v1v5, v3v5, or v4v5 are red, then we have a red P4. Hence, each of these edges is blue. However, then (v4,v1,v5,v3) is a blue P4. So, we have that P4 K5 and hence P4 K5.

To see the reverse inclusion, consider the following red-blue colorings of the edges of K5:

  1. Gr1Gb1C5

  2. Gr2K4, Gb2K1,4

So, K5C5(K4K1,4)=(C5K4)(C5K1,4)=P4P3=P4 Thus, K5=P4, as desired. ◻

The determination of the down-arrow Ramsey sets for Kn thus far have been fairly straight-forward. However, the determination of the next two down-arrow Ramsey sets, K6 and K7, are more involved.

Lemma 4. K2,3e K6 and K3 K6. In other words, K2,3eK3 K6.

Proof. Clearly, K3 K6 since the Ramsey number R(K3,K3)=6. To see that K2,3e K6, first note that C4 K6 since R(C4,C4)=6 [7].

Now, suppose that there is a red-blue coloring C of K6 that avoids a monochromatic H=K2,3e. We know that there must be a monochromatic C4, so let (v1,v2,v3,v4,v1) be a red C4. All edges between {v1,v2,v3,v4} and {v5,v6} must be blue, else there would be a red H. However, now the blue subgraph is isomorphic to K2,4, which contains H. Thus, H=K2,3e K6◻

Theorem 10. The down-arrow Ramsey set of K6=K2,3eK3.

Proof. Due to Lemma 4, we need only show that K6K2,3eK3. So, consider the following four red-blue colorings of the edges of K6:

  1. Gr1K2,4+uv, Gb1K4

  2. Gr2K1,5, Gb2K5

  3. Gr3K3,3, Gb3K3K3

  4. See Figure 2

We will show that the intersection of these four colorings is K2,3eK3. First, using Example 1, we take the intersection of C1 and C2 to obtain the following. (K2,4+uvK4)(K1,5K5)=K2,3+uvK1,5K4

Next, we take the intersection of (1) and C3 and use Observation 2 to reduce. (K2,3+uvK1,5K4)(K3,3K3K3)=K2,3K3 Finally, we find the intersection of (2) and C4 using Example 1 and Observation 4. Notice here that f5Gr4 and that Gb4Gr4. (K2,3K3)(Gr4Gb4)=(K2,3K3)Gr4=K2,3eK3

Hence, K6K2,3eK3 ◻

Next, we will show that the ideals generated by the three graphs in Figure 3 make up the down-arrow Ramsey set of K7.

For ease of notation, we label the vertices of K7 from the set {v1,v2,v3, v4,v5,v6,v7} for each of the following lemmas. Additionally, we will use solid line segments to represent red edges and dashed line segments to represent blue edges in the figures that follow.

Lemma 5. Let G1 be the graph obtained by adding two pendent edges to the same vertex of a four-cycle as in Figure 2. Then G1 K7.

Proof. Assume to the contrary that there exists a red-blue coloring C of K7 that avoids a monochromatic G1. Since it is impossible to have a 3-regular graph of order 7, we know there must be a monochromatic K1,4. Say there is a red subgraph isomorphic to K1,4 in the coloring C. Let the vertices of this subgraph be labeled v1,v2,v3,v6,v7 as shown in Figure 3. Consider another vertex, v5. Notice that v5 can be adjacent to at most one of the vertices v2,v3,v6,v7 with a red edge, else a red G1 will be formed. Thus, v5 must be connected to at least three of v2,v3,v6,v7 with blue edges. Without loss of generality, assume edges v5v2,v5v6,v5v7 are blue. By the same argument, we know that v4 must also be adjacent to at least three of v2,v3,v6,v7 with blue edges as well. We consider two cases.

Case 1. The edges v4v2,v4v6,v4v7 are blue. There is a blue C4 formed, (v4,v6,v5,v7,v4). Since the edges v2v4 and v2v5 are also blue, then the following edges must be red to avoid a blue G1: v1v5, v3v5, v1v4, v1v5. However, this produces a red G1.

Figure 4: Forced Rd-Blue Colorings in Case 1 of Lemma 5

Case 2: The edges v4v2,v4v3,v4v6 are blue. Again, we have formed a blue C4, (v2,v4,v6,v5,v2). Since the edges v5v7 and v3v4 are also blue, then the following edges need to be red: v1v4, v4v7, v1v5, v3v5.

Figure 5: Forced Red-Blue Colorings in Case 2 of Lemma 5

Notice that if either are red, then the edges v4v5 and v3v7 would form a red G1. Thus, they must both be blue. However, if they are both blue, then there will be a blue G1.

Thus, no red-blue coloring of the edges of K7 that avoids a monochromatic G1 exists. ◻

Lemma 6. Let G2 be a triangle with a pendent edge as in Figure 3. Then G2 K7.

Proof. Assume to the contrary that there exists a red-blue coloring C of the edges of K7 that avoids a monochromatic G2. Since the Ramsey number R(K3,K3)=6, we know that there must be a monochromatic triangle in C. Assume without loss of generality that there is a red triangle, with vertices v1, v2, and v3. Since C avoids a red G2, then all edges between {v1,v2,v3} and {v4,v5,v6,v7} must be blue. Furthermore, all edges between the vertices in {v4,v5,v6,v7} will be red, else there will be a blue G2. However, this then forms a red K4, which clearly has a red G2 as a subgraph. Hence, all red-blue colorings of the edges of K7 must have a monochromatic G2◻

Lemma 7. K3K2 K7.

Proof. Again, let’s assume that there exists a red-blue coloring C of the edges of K7 that avoids a monochromatic K3K2. Since there must be a monochromatic triangle, let’s assume that it is red and it has vertices labeled v1, v2, and v3. This time, all edges between the vertices in the set {v4,v5,v6,v7} must be blue to avoid a red K3K2. This creates several blue triangles, one of which is formed between v4, v5, and v6. Thus, the edges v1v7, v2v7, and v3v7 must be red. Similarly, v5, v6, and v7 form a blue triangle, so the edges v1v4, v2v4, and v3v4 must also be red. However, this forces a red K3K2◻

Figure 6: Forced Red-Blue Colorings in the Proofs of Lemmas 6 and 7 respectively

The above lemmas show that G1G2K3K2 K7. Refer to the graphs G3 and G4 as depicted in Figure 7 in the following proof to show the reverse inclusion.

Theorem 11. The down-arrow Ramsey set K7=G1G2K3K2.

Proof. Consider the following five colorings of K7:

  1. Gr1K2,5+uv, Gb1K5

  2. Gr2K1,6, Gb2K6

  3. Gr3K3K4, Gb3K3,4

  4. See Figure 8.

  5. Gr5K3,3, Gb5K3,3¯

We now determine the intersection of these colorings by following Example 1 and Observation 2. First, we compute the intersection of colorings C1 and C2. (1)C1C2=K1,6K5K2,4+uv We now find the intersection of (1) and C3. The relevant intersections are computed below.

  1. K2,4+uvK3K4=K4eK2K1,3

  2. K2,4+uvK3,4=G2K2,4

  3. K1,6K3K4=K1,3

  4. K1,6K3,4=K1,4

  5. K5K3K4=K4K3K2

Hence, we have the following intersection. (2)(K1,6K5K2,4+uv)C3=K4K3K2G2K2,4 Now we take (2) and intersect with C4 after noting the following intersections.

  1. (K3K2G2)(Gr4Gb4)=K3K2G2

  2. K4(Gr4Gb4)=C4G2

  3. K2,4(Gr4Gb4)=G1G3

The intersection follows. (3)(K4K3K2G2K2,4)C4=G1G3K3K2G2 Finally, we take the intersection of (3) and C5.

  1. K3,3G1=K2,3e2P3

  2. K3,3G3=K2,3e2P3

  3. K3,3K3K2=P3K2

  4. K3,3G2=K1,3P4

  5. Gb5G2=G2

  6. Gb5K3K2=K3K2

  7. Gb5G3=K2,3eG4

  8. Gb5G1=G1

Thus, we have our final intersection. (4)(G1G3K3K2G2)C5=G1G2K3K2 Hence, K7(4), and we have K7=G1G2K3K2◻

5. Further Research

There are a number of directions that research in this topic can go. The most obvious is to determine Kn for larger values of n. Other developments in this area may arise from one of the following pursuits.

  1. Develop new computational methods for computing intersections of ideals.

  2. Consider multi-color Ramsey numbers.

  3. Study minimal sets of colorings needed to determine a down-arrow Ramsey set.

Let’s consider this last suggestion in more detail. By Proposition 1, we know there exists a finite set of colorings which, when combined properly through graph ideal intersections, give the down-arrow Ramsey set for any graph G. However, it is not computationally feasible to compute the graph ideal intersections for all colorings of a graph. Hence, further research will be devoted to finding small sets of colorings that determine the down-arrow Ramsey set, that is, collections of colorings that satisfy the conclusion of Proposition 1. To this end, we define the following terminology. Let G be a nonempty graph of order n2. A set of colorings H satisfying the conclusion of Proposition 1 will be referred to as a Ramsey elimination set. A Ramsey elimination set of minimum cardinality is called a minimum Ramsey elimination set. The cardinality of a minimum Ramsey elimination for G is called the Ramsey elimination number of G and is denoted Re(G).

From this definition, there are several problems one can investigate. We identify perhaps the most fruitful here.

Problem 1. For a given graph G, find properties that a minimum Ramsey elimination set must possess. Determine if a set of colorings is a Ramsey elimination set for G without knowing G a priori.

A solution or partial solution to the previous problem will be useful in reducing the field of possible sets of colorings. It may then be computationally feasible to determine the graph ideal intersections. Some work has been done to attack this problem, in particular, we compute Re(G) and give a minimum Ramsey elimination set for some of the complete graphs in this paper.

Proposition 7. The Ramsey elimination number of K3 is 1.

Proof. We know that K3=P3. Take the set of colorings H={(P3,K2)}, and observe that P3K2=P3. Since Re(G)1 for all non-empty graphs G, it follows that Re(K3)=1, and a minimum Ramsey elimination set is given by H={(P3,K2)}◻

Proposition 8. The Ramsey elimination number of K4 is 2.

Proof. We know that K4=P3. In Proposition 5 it is verified that H={(K3,K1,3),(C4,2K2)} is a Ramsey elimination set. It remains to be seen that this is a minimum Ramsey elimination set. Suppose that there exists a graph H for which K4=HH¯, then we would have that P3=HH¯. However, since K4 has 6 edges, it must be that |E(H)|+|E(H¯)|=6. Hence, either |E(H)|3 or |E(H¯)|3. that is, there exists graphs in HH¯ with 3 edges. However, P3 has only two edges, so this is impossible. ◻

The technique used in the last example can be generalized.

Proposition 9. Let G be a graph of order n and size m. If for each H∈↓G we have |E(H)|<m2, then Re(G)2.

Proof. Suppose Re(G)=1, then there exists H such that G=HH¯. Since |E(H)|+|E(H¯)|=m, it must be that either |E(H)|m2 or E(H¯)m2. Hence, there is some graph in G with at least m2 edges. ◻

Proposition 10. The Ramsey elimination number of K5 is 2.

Proof. We know that K5=P4. In Proposition 6 it is verified that H={(C5,C5),(K4,K1,4)} is a Ramsey elimination set. Furthermore, since P4 generates K5 and has only 3 edges, it follows by Proposition 9 that Re(K5)=2 and H is a minimum Ramsey elimination set. ◻

In addition to investigating the problems posed above in relation to Ramsey elimination sets, further work can be done on finding specific down-arrow Ramsey sets that are not included or finished in this paper. For example, we will continue to work on describing the down-arrow Ramsey set for all complete bipartite graphs Ks,t for t1 and s3. Additionally, determining the down-arrow Ramsey sets for larger complete graphs is an alluring topic due to its connection to traditional Ramsey Theory. In this case, we believe that further research into Ramsey elimination sets and intersections of graph ideals will prove crucial in this effort.

Acknowledgment

We greatly appreciate the valuable suggestions made by Jamie Hallas that resulted in an improved paper.

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