Lower bounds for Ramsey numbers for complete bipartite and 3-uniform tripartite subgraphs

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1 Journal of Graph Algorithms and Applications vol. 7, no. 6, pp (03 DOI: 0.755/jgaa.003 Lower bounds for Ramsey numbers for complete bipartite and 3-uniform tripartite subgraphs Tapas Kumar Mishra Sudebkumar Prasant Pal Department of Computer Science and Engineering, IIT Kharagpur 730, India Abstract Let R(K a,b, K c,d be the minimum number n so that any n-vertex simple undirected graph G contains a K a,b or its complement G contains a K c,d. We demonstrate constructions showing that R(K,b, K,d > b + d + for d b. We establish lower bounds for R(K a,b, K a,b and R(K a,b, K c,d using probabilistic methods. We define R (a, b, c to be the minimum number n such that any n-vertex 3-uniform hypergraph G(V, E, or its complement G (V, E c contains a K a,b,c. Here, K a,b,c is defined as the complete tripartite 3-uniform hypergraph with vertex set A B C, where the A, B and C have a, b and c vertices respectively, and K a,b,c has abc 3-uniform hyperedges {u, v, w}, u A, v B and w C. We derive lower bounds for R (a, b, c using probabilistic methods. We show that R (,, b b +. We have also generated examples to show that R (,, 3 6 and R (,, 4 7. Keywords: Ramsey number, bipartite graph, local lemma, probabilistic method, r-uniform hypergraph. Submitted: April 03 Reviewed: September 03 Article type: Regular Paper Revised: October 03 Published: November 03 Accepted: October 03 Communicated by: S. K. Ghosh Final: October 03 addresses: tkmishra@cse.iitkgp.ernet.in (Tapas Kumar Mishra (Sudebkumar Prasant Pal spp@cse.iitkgp.ernet.in

2 67 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers Introduction Let R(G, G denote the smallest integer such that for every undirected graph G with R(G, G or more vertices, either (i G contains G as subgraph, or (ii the complement graph G of G contains G as subgraph. In particular R(K a,b, K a,b is the smallest integer n such that any n-vertex simple undirected graph G or its complement G must contain the complete bipartite graph K a,b. Equivalently, R(K a,b, K a,b is the smallest integer n of vertices such that any bicoloring of the edges of the n-vertex complete undirected graph K n would contain a monochromatic K a,b. The significance of such a number is that it gives us the minimum number of vertices needed in a graph so that two mutually disjoint subsets of vertices with cardinalities a and b can be guaranteed to have the complete bipartite connectivity property as mentioned. In the analysis of social networks it may be worthwhile knowing whether all persons in some subset of a persons share b friends, or none of the a persons of some other subset share friendship with some set of b persons. This can also be helpful in the analysis of dependencies, where there are many entities in one partite set, which are all dependent on entities in the other partite sets; we need to achieve consistencies that either all dependencies exist between a pair of partite sets, or none of the dependencies exist between possibly another pair of partite sets.. Existing results From the definition of R(K a,b, K a,b, it is clear that R(K,, K, = and R(K,, K, =3. To see that R(K,3, K,3 6, observe that we need at least 4 vertices and neither a 4-cycle nor its complement has a K,3. Further, observe that neither a 5-cycle in K 5, nor its complement (also a 5-cycle has a K,3. The numbers R(K,b, K,b are however known exactly, and are given by Burr and Roberts [3] as R(K,b, K,b = b for even b, and b, otherwise. Chvátal and Harary [5] were the first to show that R(C 4, C 4 = 6, where C 4 is a cordless cycle of four vertices. As K, is identical to C 4, R(K,, K, = 6. Note that R(K,3, K,3 = 0 [], R(K,4, K,4 = 4 [7], and R(K,5, K,5 = 8 [7]. The values of R(K,, K,n are known to be exactly 0,, 5, 6, 30 and 3 for n =, 3, 6, 7, 0 and, respectively []. For integers n such that n 6, the values of R(K,n, K,n are known to be exactly 46, 50, 54, 57 and 6, respectively []. Harary [8] proved that R(K,n, K,m = n + m x, where x = if both n and m are even and x = 0 otherwise. These Ramsey numbers are different from the usual Ramsey numbers R(K a, K b, where R(K a, K b is the smallest integer n such that any undirected graph G with n or more vertices contains either a K a or an independent set of size b. We know that R(K 3, K 3 = 6, R(K 3, K 4 = 9, R(K 3, K 8 = 8, R(K 3, K 9 = 36, R(K 4, K 4 = 8, and R(K 4, K 5 = 5 (see [, 4, 3].

3 JGAA, 7( ( Our contribution We derive lower bounds for (i the unbalanced diagonal case for R(K a,b, K a,b and (ii the unbalanced off-diagonal case for R(K a,b, K c,d. In Section we also establish a lower bound of b + for R(K,b, K,b for all b. We provide an explicit construction and use combinatorial arguments. Note that Lortz and Mengersen [9] conjectured that R(K,b, K,b 4b 3, for all b. Exoo et al. [7] proved that R(K,b, K,b 4b for all b, where the equality holds if and only if a strongly regular (4b 3, b, b, b -graph exists. (A k-regular graph G with n vertices is called strongly regular graph (n, k, p, q, if every adjacent pair of vertices shares exactly p neighbours and every nonadjacent pair of vertices shares exactly q neighbours. In Sections and 3, we consider Ramsey numbers R(K a,b, K a,b and R(K a,b, K c,d respectively, where a, b, c and d and integers, establishing lower bounds using probabilistic methods. In Section 3, we also demonstrate a construction showing that R(K,b, K,d > b + d + for d b. In Section 4 we extend similar methods for 3- uniform tripartite hypergraphs, deriving lower bounds for the Ramsey numbers R (a, b, c; we are unaware of any literature concerning such lower bounds for such hypergraphs. Here, R (a, b, c is the minimum number n such that any n- vertex 3-uniform hypergraph G(V, E, or its complement G (V, E c contains a K a,b,c. Here, K a,b,c is defined as the complete tripartite 3-uniform hypergraph with vertex set A B C, where the A, B and C have a, b and c vertices respectively, and K a,b,c has abc 3-uniform hyperedges {u, v, w}, u A, v B and w C. In Section 4, we also show that R (,, b b +. Further, we present our generated examples to show that R (,, 3 6 and R (,, 4 7. In Section 5 we conclude with a few remarks. The unbalanced diagonal case : R(K a,b, K a,b R(K a,b, K a,b is the minimum number n of vertices such that any bicoloring of the edges of the n-vertex complete undirected graph K n would contain a monochromatic K a,b. The following lower bound proof for R(K,b, K,b involves an explicit construction. We are not aware of better lower bounds for R(K,b, K,b in the literature.. A constructive lower bound for R(K,b, K,b Theorem R(K,b, K,b > b +, for all integers b. Proof: For b, there always exists a graph G with b + vertices, such that neither G nor its complement G has a K,b. The entire construction is illustrated in Figure. Let the vertices be labelled v, v,..., v b+ for b = 4. Connect v b+ to each of the other b vertices. Let B be the set of vertices v, v,..., v b and B be the set of vertices v b+, v b+,..., v b. We wish to connect every vertex in B to at most b vertices in B. There are ( b b = b such

4 674 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers B B (a B B (b B B (c Figure : (a Edges of G connecting v b+, (b Edges of G between vertices of B and B, (c the complement graph G of G, wherein B and B are a K b each, and B and B have a perfect matching. distinct subsets of B of size b. Now each vertex v i of B is connected to b vertices of B, leaving out only the vertex v b+ i of B. We claim that the degree of every vertex except v b+ is b. Firstly, every vertex of B is connected to b vertices of B, and the single vertex v b+. Secondly, every vertex of B (i is connected to v b+, and (ii also present in exactly b separate groups, where each group is connected to exactly one vertex of B. So, every vertex v j of B is connected to every vertex of B except the vertex v b+ j (in B. So, every vertex of B B has degree b. However, no two vertices in B B have all b identical neighbours. Therefore, G is K,b -free. Now consider G. Since v b+ is connected to every other vertex in G, it is isolated in G. Since each vertex in G is connected to b vertices other than v b+, the number of neighbours for each vertex in G is precisely (b (b = b, as illustrated in Figure. We show that for any two vertices in G, their neighbouring sets of b vertices in G differ in at least one vertex. Observe that in G, B and B include complete graphs K b, and the edges between B and B form a perfect matching. Consequently, the neighbouring sets of any two vertices differ by at least one vertex in G. Since the number of common neighbours between any two vertices is no more than b, G is also K,b -free.

5 JGAA, 7( ( Probabilistic lower bounds for R(K a,b, K a,b In the first Section.. we use the probabilistic method that Erdós applied to prove lower bounds on the original Ramsey numbers [6]. In the Section.., we demonstrate improved lower bounds using the Loväsz local lemma... Application of the probabilistic method The best known lower bound on R(K a,b, K a,b due to Chung and Graham [4] is R(K a,b, K a,b > ( π ( ab a+b ( a + b e ab a+b ( Table : Lower bounds for R(K a,b, K a,b from Inequality (left, Theorem (middle and Theorem 3 (right b a,3,4 3,4,5 3,5,6 3,5,7 3,6,8 5,0,7 5,,8 6,,9 3,5,6 4,6,7 5,7,9 5,8,0 6,9, 9,7,3 0,8,4 0, 9, 6 3 5,7,8 6,8,9 7,0, 8,,4 9,4,6 6,6,3 7,9,35 8,3,37 4 6,9,0 8,, 0,4,5,6,8 4,9, 6,4,46 8,45,50 30,49,55 5,4,6 3,8,0 6,,4 9,7,9 40,60,65 43,67,7 47,74,80 6 7,3,5,9,3 6,35,38 59,87,93 66,98,04 7,09,6 7 7,37,39 34,46,48 86,3,9 96,39,47 06,56, ,58,6 9,68,78 36,93,04 5,9, ,755,80 678,9,005 87,3, ,36,46 09,385, ,704,886 We derive a tighter lower bound using the probabilistic method as follows. Theorem R(K a,b, K a,b > (aa b b π ab ( a+b ( ab e and b. a+b, for natural numbers a Proof: First we find the probability p of existence of a particular monochromatic K a,b and then sum that probability over all such possible distinct complete bipartite graphs to estimate an upper bound on the probability of existence of some monochromatic K a,b. To get a lower bound on R(K a,b, K a,b, we choose the largest value of n, keeping the probability p strictly less than unity. This would ensure the existence of some graph G with n vertices such that both G and G are free from any monochromatic K a,b. Let n be the number of vertices of graph G. Then the total number of distinct K a,b s possible is ( ( n n a a b. Each K a,b has exactly ab edges. Each edge can be either of two colors with equal probability. The probability that a particular K a,b will have all ab edges of a specific color is ( ab. So, the probability that a particular Ka,b is monochromatic is ( ab = ab. The probability p that some K a,b is monochromatic is ( n n a a( b ab. Our objective is to choose as large n as possible with p <. So,

6 676 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers choosing n > (aa b b π ab ( a+b ( ab e a+b, for natural numbers a and b, and using Stirling s approximation (replacing a! by π aa+ e and b! by π bb+, we get a e b p <. This guarantees the existence of an n-vertex graph for which some edge bicoloring would not result in any monochromatic K a,b. See Table for the first two lower bounds for R(K a,b, K a,b for each pair (a, b, due to Inequality and Theorem, respectively. Taking the ratio of our lower bound in Inequality, and Chung and Graham s lower bound as in Inequality, we get x = (a a b b π ab ( a+b ( ab a+b e (π ab ( = a+b (a+b ( ab a+b e ( a a b b a+b a + b e When a = b, we get x = a a e = e.359. When a << b, as a + b b, we get x = b e e. So our lower bound gives an improvement that varies b between.35 to e depending upon the values of a and b... A lower bound for R(K a,b, K a,b using Lovász local lemma We are interested in the question of existence of a monochromatic K a,b in any bicolouring of the edges of K n. Since the same edge may be present in many distinct K a,b s, the colouring of any particular edge may effect the monochromaticity in many K a,b s. This gives the motivation for the use the Corollary of Lovász local lemma (see [] to account for such dependencies in this context. Lemma Lovász Local Lemma [] Let G(V, E be a dependency graph for events E,...E n in a probability space. Suppose that there exists x i [0, ] for i n such that P r [E i ] x i {i,j} E ( x j, then P r [ n i= E n i] i= ( x j. A direct corollary of the lemma states the following. Corollary [] If every event E i, i m is dependent on at most d other events and P r [E i ] p, and if ep(d +, then P r [ n i= E i] > 0. Theorem 3 If e ( ab ( ab ( n a+b ( a+b b + then R(K a,b, K a,b > n. Proof: We consider a random bicolouring of the complete graph K n in which each edge is independently coloured red or blue with equal probability. Let S be the set of edges of an arbitrary K a,b, and let E S be the event that all edges in this K a,b are coloured monochromatically. For each such S, the probability of E S is P (E S = ab. We enumerate the sets of edges of all possible K a,b s as S,S,...,S m, where m = ( ( n n a a b and each Si is the set of all the edges of

7 JGAA, 7( ( the i th K a,b. Clearly, each event E Si is mutually independent of all the events E Sj from the set I j = {E Sj : S i S j = 0}. We show that for each E Si, the number of events outside the set I j satisfies the inequality {E Sj : S i S j } ab ( ( n a+b a+b b, as follows. Every Sj in this set shares at least one edge with S i, and therefore such an S j shares at least two vertices with S i. We can choose the rest of the a+b vertices of S j from the remaining n vertices of K n, out of which we can choose b for one partite set of S j, and the remaining a to form the second partite set of S j, yielding a K a,b that shares at least one edge with S i. We apply Corollary to the set of events E S,E S,...,E Sm, with p = ab and d = ab ( ( n a+b a+b b, enforcing the premise ep(d +, resulting in the lower bound for n, so that P r [ m i= E ] S i > 0. This non-zero probability (of none of the events E Si occurring, for i m implies the existence of some bicolouring of the edges of K n with no monochromatic K a,b, thereby establishing the theorem. Solving the inequality in the statement of Theorem 3, we can compute lower bounds for R(K a,b, K a,b, for natural numbers a and b. Such lower bounds for some larger values of a and b show significant improvements over the bounds computed using Theorem (see Table. Simplifying the inequality in the statement of Theorem 3, we get the following lower bound for R(K a,b, K a,b. (( (a (a (b (b π (a (b R(K a,b, K a,b > eab ( a+b ( ab a+b e. 3 The unbalanced off-diagonal case: R(K a,b, K c,d R(K a,b, K c,d is the minimum number n so that any n-vertex simple undirected graph G must contain a K a,b or its complement G must contain the complete bipartite graph K c,d. Equivalently, R(K a,b, K c,d is the minimum number n such that any -coloring of the edges of an n-vertex complete undirected graph would contain a monochromatic K a,b or a monochromatic K c,d. 3. A constructive lower bound for R(K,b, K,d Now we present a constructive lower bound as follows by designing an explicit construction. Theorem 4 R(K,b, K,d > b + d +, for all integers d b. Proof: For d b, we demonstrate the existence of a K,b -free graph with b + d + vertices, such that its complement graph does not contain any K,d. The construction is illustrated for specific values of b and d in Figure. We have the following three exhaustive cases. Case : If b = m for an integer m, then arrange all the vertices around a circle, numbering vertices as v 0, v, v,..., v b+d, and connect each vertex to its m nearest

8 678 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers G (a G 6 (b G 6 G 5 (c (d G 3 5 (e (f G 3 6 Figure : (i R(K,4, K,6 > : (a graph G is K,4 -free, and and (b graph G is K,6 -free, (ii R(K,3, K,4 > 8: (c graph G is K,3 -free, and and (d graph G is K,4 -free, (iii R(K,3, K,5 > 9: (e graph G 3 is K,3 -free, and (f graph G 3 is K,5 -free.

9 JGAA, 7( ( neighbours in clockwise (as well as counterclockwise directions along the circle. See graph G in Figure (a for an example with b = 4 and d = 6. Observe that the constructed graph G is b-regular, and its complement graph is therefore d- regular. We claim that G does not have a K,b since no two vertices in G share more than b neighbours. We first show that for all i, 0 i b + d, the vertex v i shares exactly (m = b neighbours with v i+. Here and henceforth, all arithmetic operations on indices of vertices are modulo b + d +. There are exactly m neighbours common to v i and v i+ in the clockwise (respectively, counterclockwise direction of v i (v i+, resulting in a total of (m common vertices. Similarly, the number of vertices shared by v i with its neighbouring clockwise vertex v i is also b. Now consider the remaining counterclockwise neighbours v i+k of v i in G, k m. Observe that vertices v i and v i+k share exactly (m k + (k = m k = b k neighbours; m k vertices clockwise (respectively, counterclockwise of v i (respectively, v i+k, and k vertices clockwise of v i+ and counterclockwise of v i. So, the total number of shared neighbours between v i and v i+k (and symmetrically, between v i and v i k, is certainly no more than (m = b. For the d non-adjacent vertices v j of v i, clearly v j and v i do not share more than m < b common neighbours. This implies that the graph G is K,b -free. Now consider the complement graph G of G. Since we have b + d + vertices, the complement graph G is d-regular if and only if the graph G is b-regular. See Figure (b for the complement graph G of G, for b = 4 and d = 6. The complement graph G can have a K,d only if two vertices share all their neighbours. Each pair of vertices differ in at least two vertices in their neighbourhood in G, since any pair of two vertices can share at most b vertices in the b-regular graph G. This ensures that no two vertices can have all neighbours common in G. For any vertex pair (v i,v j, even if the neighbourhood of v i includes v j, v i still has some neighbour v k that is not a neighbour of v j in G, and (similarly v j has some neighbour v l that is not a neighbour of v i in G. In G therefore, v k is a neighbour of v j but not a neighbour of v i, and v l is a neighbour of v i but a neighbour of v j. Therefore, G is K,d -free. Case : If b = m + for an integer m, and b + d + is even (i.e., d is even, then arrange and name the vertices around a circle as in Case, and connect each vertex to its m nearest neighbours in counterclockwise as well as clockwise directions around the circle. Also, connect each vertex v i to the vertex v i+ b+d+, directly opposite to it on the circle; note that no two vertices share such a common directly opposite neighbour. The resulting graph G is b-regular. As shown in Case, this graph G does not have any K,b as no two vertices share more than (m = b 3 < b common neighbours. The complement graph G is again d-regular, as in Case. The construction is illustrated for the case of R(K,3, K,4 in Figure (c and (d. The only way G can have a K,d is if two vertices share all their neighbours in G. Since two vertices G share less than b vertices in G, they cannot have all neighbours common in G. This

10 680 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers can be shown in a manner similar to that in Case. So, G is K,d -free. Case 3: If b = m + for some integer m, and b + d + is odd (i.e., d is odd, then arrange and name the vertices around a circle as in Cases and, and connect (i each vertex to its m nearest neighbours in counterclockwise as well as clockwise directions, and (ii connect each vertex v i to vertex v i+ b+d+, for all i, i b+d+. This results in a graph G with b + d vertices of degree b and one vertex v b+d of degree b. Observe that as in Cases and, the number of common neighbours for any two vertices in G is no more than (m = b 3 < b. This graph G is therefore free from any K,b. We now show that G is K,d -free. Observe that every vertex of the complement graph G has degree d, except v b+d whose degree is d+. The construction is illustrated for the case of R(K,3, K,5 in Figure (e and (f. The only way G can have a K,d is (i if some d-degree vertex shares all its neighbours with some other d-degree vertex in G (as in Cases and, or (ii if any d of the d+ neighbours of the d + -degree vertex v b+d, are shared with a d-degree vertex in G. Two d-degree vertices disagreeing on at least two neighbours cannot yield a K,d, as seen in Cases and. So, we need to consider only the later case involving vertex v b+d, whose degree is d + in G. Consider a d-degree vertex v i of G and the vertex v b+d. Since these two vertices share at most b vertices in G, there is at least one neighbouring vertex v j of v b+d in G, that is not a common neighbour in G for v i and v b+d. So, v j not connected to v i in G and therefore a v j is a neighbour of v i in G. Also, v j is connected to v b+d in G and therefore not a neighbour of v b+d in G. So, G does not have a K,d where v i and v b+d should share d neighbours. Now we derive a lower bound on such numbers using the probabilistic method. 3. A probabilistic lower bound for R(K a,b, K c,d Theorem 5 For all n N and 0 < p <, if ( ( ( ( n n a n n c p ab + ( p cd <, ( a b c d then R(K a,b, K c,d > n. Proof: Consider a random bicolouring of the edges of K n with colours red and blue with probabilities p and p, respectively. The probability that a particular red K a,b exists is p ab. So, the probability that any red K a,b exists is ( ( n n a a b p ab. Similarly, the probability that a particular blue K c,d exists is ( p cd, and the probability that any red K c,d exists is ( ( n n c c d ( p cd. So, the probability that the bicoloured K n contains any red K a,b or any blue K c,d is ( n n a a( p ab + ( ( n n c ( p cd. The theorem follows by setting this probability b to less than unity. c d Corollary For all n N and 0 < p <, if ( n a, then R(K a,a, K b,b > n. ( n a a p a + ( n b ( n b b ( p b <

11 JGAA, 7( ( A lower bound for R(K a,b, K c,d using Lovász local lemma We are interested in the question of existence of a monochromatic K a,b or a monochromatic K c,d in any bicolouring of the edges of K n. Since the same edge may be shared by many distinct K a,b s and K c,d s, the colouring of any particular edge may affect the monochromaticity in many K a,b s and K c,d s. This gives the motivation for the use of the Corollary of Lovász local lemma in this context. Table : Lower bounds for R(K a,b, K c,d from Inequality (left and Theorem 6 (right c,d 0, 0, 0,3,,3,3,4 3,4 4,5 5,6 a,b 0, 8,79 00,94 5,07,7 4,3 66,56 85,89 37,34 376, , , , , , , , , , , ,0.4 0, 00,94 0,8 38,33 45,45 68,6 96,88 36,36 350,359 43,40 498, , , , , , , , , , ,0.43 0,3 5,07 38,33 6,63 66,63 94,97 37,37 353, ,385 47,47 54, , , , , , , , , , ,0.44,,7 45,45 66,63 75,77 300,97 333,37 355, ,409 48,47 573, , , , , , , , , , ,0.44,3 4,3 68,6 94,97 300,97 33, , , , ,544 68, , , , , , , , , , ,0.45,4 56,56 86,79 38,3 30,35 358,355 40, ,45 489, ,63 690, , , , , , , , , , ,0.46,3 66,56 96,88 37,37 333,37 370,373 45,46 450,45 49,490 6,69 708, , , , , , , , , , ,0.46,4 85,89 36,36 353, , , ,45 500,58 555,565 66, , , , , , , , , , , ,0.47,5 35,3 348, , ,408 43,440 48, , ,6 7,73 895, , , , , , , , , , ,0.47 3,4 37,34 350, , , ,440 49, ,565 63,65 730,757 90, , , , , , , , , , ,0.47 3,5 348, ,386 43,439 44, , , , ,683 87,85 00, , , , , , , , , , ,0.48 4,5 376,373 43,40 47,47 48,47 540,544 6,69 66, , ,994 05, , , , , , , , , , ,0.49 4,6 40,47 444, , ,537 57,580 65, ,753 88, ,09 6, , , , , , , , , , ,0.49 5,6 446, ,504 54, ,584 68, ,75 793,80 90,98 05,66 399, , , , , , , , , , ,0.50 { Theorem 6 If for some 0 < p <, ab ( ( n n a a b + }p ab e { cd ( ( n n c c d + }e pcd cd + e ab, then R(K a,b, K c,d > n. ab + cd and Proof: We consider a random bicolouring of the complete graph K n in which each edge is independently coloured red or blue with probabilities p and ( p respectively. Let S be the set of edges of an arbitrary K a,b,t be the set of edges of an arbitrary K c,d,. let E S be the event that all edges in the K a,b S are coloured monochromatically red and let E T be the event that all edges in the K c,d T are coloured monochromatically blue. For each such S, the probability of E S is P (E S = p ab. Similarly For each such T, the probability of E T is P (E T = ( p cd. We enumerate the sets of edges of all possible K a,b s and

12 68 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers K c,d s as A,A,...,A m, where m = ( ( n n a ( a b + n n c c( d. Clearly, each event EAi is mutually independent of all the events E Aj from the set {E Aj : A i A j = 0}; since for any such A j, A i and A j share no edges. Now again as the events can be a monochromatic K a,b or K c,d, Let A ab denote a K a,b and A cd denote a K c,d. For each E Aab, the number of events outside this set satisfies the inequality {E Aj : A ab A j } ab{ ( ( n n a ( a b + n ( n c c d }; every Aj in this set shares at least one edge with A ab, and therefore such an A j shares at least two vertices with A ab. If this A j is a K a,b, then We can choose the rest of the a+b vertices of A j from the remaining n vertices of K n, out of which we can choose a for one partite set of A j, and the remaining b to form the second partite set of A j, yielding a K a,b that shares at least one edge with A ab. On the other hand, if this A j is a K c,d, then We can choose the rest of the c + d vertices of A j from the remaining n vertices of K n, out of which we can choose c for one partite set of A j, and the remaining d to form the second partite set of A j, yielding a K a,b that shares at least one edge with A ab. Similarly, For each E Acd, the number of events that shares atleast one edge satisfies the inequality {E Aj : A cd A j } cd{ ( ( n n a ( a b + n ( n c c d }. By applying Theorem, we want to show that [ m ] P r E Ai > 0. (3 i= This non-zero probability (of none of the events E Ai occurring, for i m implies the existence of some bicolouring of the edges of K n with no red K a,b or blue K c,d, thereby establishing the theorem. The Inequality 3 is satisfied if the following conditions hold. P r [E Aab ] x ab ( x ab ab(n P r [E Acd ] x cd ( x ab cd(n Choosing x ab = ab( n a ( n a and using the inequalities ( p cd e pcd and { ( ( n n a ab a b { ( ( n n c cd c d a ( n a b a ( n a b ( xcd ab(n ( xcd cd(n, x cd = b + cd( n ( + + c ( n c d c ( n c for some x ab, x cd. c ( n c d + d d+ e, we get } } p ab ab + e cd, and d, (4 e pcd cd + e ab. (5 To get a lower bound on R(K a,b, K c,d, we choose the largest value of n, such that both of these conditions are satisfied. Solving the inequality in the statement of Theorem 6, we can compute lower bounds for R(K a,b, K c,d, for natural numbers a, b, c and d. Such lower bounds

13 JGAA, 7( ( for some larger values of the arguments a, b, c and d show significant improvements over the bounds computed using Theorem 5 (see Table. These lower bounds in Table are computed using the inequalities in Theorems 5 and 6; this is done by incrementing the value of the probability parameter p by the hundredths of a decimal and determining the largest resulting lower bounds from the inequalities for each set of values for the arguments a, b, c and d. The values of such probabilities are tabulated below the corresponding lower bound entries in the table. { Corollary 3 If for some 0 < p <, a ( ( n n a a a + }p a a + e b and { b ( ( n n b b b + }e pb b + e a, then R(K a,a, K b,b > n. 4 Lower bounds for Ramsey numbers for complete tripartite 3-uniform subgraphs Let R (a, b, c be the minimum number n such that any n-vertex 3-uniform hypergraph G(V, E, or its complement G (V, E contains a K a,b,c. An r-uniform hypergraph is a hypergraph where every hyperedge has exactly r vertices. (Hyperedges of a hypergraph are subsets of the vertex set. So, usual graphs are -uniform hypergraphs. Here, K a,b,c is defined as the complete tripartite 3- uniform hypergraph with vertex set A B C, where the A, B and C have a, b and c vertices respectively, and K a,b,c has abc 3-uniform hyperedges {u, v, w}, u A, v B and w C. It is easy to see that R (,, = 3; with 3 vertices, there is one possible 3-uniform hyperedge which either is present or absent in G. Theorem 7 R (,, = 4. Proof: Consider the complete 3-uniform hypergraph with vertex set V = {,, 3, 4} and set of exactly four hyperedges H = {{,, 3}, {,, 4}, {, 3, 4}, {, 3, 4}}. Since vertex is present in 3 hyperedges, any (empty or non-empty subset S of H, or its complement H \ S must contain at least two hyperedges containing the vertex. Observe that any such set of two hyperedges is a K,,. The fact that R (,, 3 > 5 can be established by the counterexample given in Figure 3, where neither the 3-uniform hypergraph G nor its complement G has a K,,3. The vertices are v, v, v 3, v 4, v 5 and e, e..., e 0 represent all the ten possible 3-uniform hyperedges. The hypergraph G has five hyperedges viz., e ({,, 3}, e ({,, 4}, e 3 ({, 3, 5}, e 4 ({, 4, 5}, e 5 ({3, 4, 5}. The complement hypergraph G has the remaining five hyperedges, viz., e 6 ({,, 5}, e 7 ({, 3, 4}, e 8 ({, 4, 5}, e 9 ({, 3, 4}, e 0 ({, 3, 5}. We also show that R (,, 4 > 6. We found the following counterexample. Consider the set E = {{,, 4}, {, 3, 5}, {, 3, 6}, {, 4, 5}, {, 4, 6}, {, 5, 6}, {,

14 684 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers e v 4 e 5 e 7 v 4 e 9 e v v v 3 e 3 e 4 v v v 3 e e 0 8 v 5 e 6 v 5 Figure 3: Hypergraph G (left and its complement G (right. Neither G nor G has a K,,3 3, 4}, {, 3, 5}, {, 3, 6}, {, 4, 5}} of hyperedges of a 6-vertex 3-uniform hypergraph G. The set E = {{,, 3}, {,, 5}, {,, 6}, {, 3, 4}, {, 4, 6}, {, 5, 6}, {3, 4, 5}, {3, 4, 6}, {3, 5, 6}, {4, 5, 6}} is the set of of hyperedges of the complement hypergraph G of G. Note that neither G nor G has a K,,4. The example in Figure 3 showing R (,, 3 > 5 was discovered using the following method; we have used the same method also for showing that R(,, 4 7. As there are ( 5 3 = 0 distinct 3-uniform hyperedges possible with 5 vertices. So, there are 0 possible 3-uniform hypergraphs. We designated each of the 0 hyperedges with a distinct number starting from 0 to 9. For example, hyperedge {,, 3} is mapped to 0 and {3, 4, 5} is mapped to 9. Then, we generated every distinct K,,3, which are ( 5 3 = 0 in number. We generated all the possible 0 hypergraphs and checked for the existence of each K,,3. For example, the hyperedges {{,, 3}, {,, 4}, {,, 5}}, numbered as 0, and, respectively, constitute a K,,3 denoted as (0, and the hyperedges {{,, 3}, {, 3, 4}, {, 3, 5}} constitute a K,,3 denoted as ( For generating all possible hypergraphs, we take a 0-bit binary number, where each bit represents a particular hyperedge (the 0 th bit represents {,, 3}, and the 9 th bit represents {3, 4, 5}, and generate all its possible combinations. Now for every 0-bit binary string, we check for the existence of any K,,3. For example, let the binary string be This string represents the hypergraph with edges {{,, 3}, {,, 4}, {,, 5}} denoting the presence of K,,3 denoted by (0. If for any hypergraph, no K,,3 is present, then we check the existence of a K,,3 in the complement hypergraph. If neither the hypergraph nor its complement have a K,,3, then we get our sought counterexample hypergraph. Determining such Ramsey numbers for higher parameters by exhaustive searching using computer programs is computationally very expensive in terms of running time. We have the following upper bound for R (,, b. Theorem 8 R (,, b b +.

15 JGAA, 7( ( Proof: Let v,v,..., v b+ be the b + vertices. Then, for any pair of vertices v i, v j, there are b possible 3-uniform hyperedges (each hyperedge containing one distinct vertex from the remaining b vertices. So, by the pigeonhole principle, either the graph or its complement must include b of these hyperedges containing both v i and v j. This set of b hyperedges denotes a K,,b. Based on our findings R(,, 3 6 (see Figure 3, and R(,, 4 7, we state our conjecture for R (,, b, b 3, as follows, Conjecture R (,, b b. Note that settling this conjecture positively would require showing that for some (b -vertex 3-uniform hypergraph G, neither G nor G has a K,,b. We related this problem to that of the existence of a t-design. A t-design is defined as follows. A t-(v, k, λ design is an incidence structure of points and blocks with properties (i v is the number of points, (ii each block is incident on k points, and (iii each subset of t points is incident on λ common blocks []. Lemma If there is a (b, 3, b design then R (,, b b. Proof: The existence of -(b,3,b design would suggest that there exist a 3-uniform hypergraph with b vertices such that every pair of vertices forms a hyperedge with exactly b other vertices. This implies that the hypergraph is free of K,,b. So, every pair of vertices will also form a hyperedge in the complement hypergraph with exactly (b (b = b vertices. Therefore, the complement hypergraph is also free of K,,b. Table 3: Lower bounds for R (a, a, a by Theorem 9 (left and Theorem 0 (right a R (a, a, a 4,9 84,38 800, , , , Table 4: Lower bounds for R (a, b, c by Theorem 9 (left and Theorem 0 (right a= a=3 a=3 a=3 a=4 a=4 a=5 a=6 a=6 a=6 a=6 c b 9,3 8,,6 6, 8,5 6,36 40,58,6,9 36,5 59,87 3 6, 4,9 3,3 35,50 4,6 68,07 4,08 50,74 07,75 09,37 4 6,36 4,6 68,07 84,38 59,8 334,653 77,5 643, ,58 4,08 334, , , Probabilistic lower bound for R (a, b, c ( Theorem 9 R a a b b c c (π 3 abc ( a+b+c ( a+b+c abc (a, b, c > e.

16 686 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers Proof: Consider the probability of existence of a particular K a,b,c in G or G, where G is a 3-uniform hypergraph and G is its complement. The sum p of such probabilities over all possible distinct K a,b,c s is an upper bound on the probability that some K a,b,c exists in G or G. Let n be the number of vertices of hypergraph G. As in the proof of Theorem, we observe that the number of K a,b,c s is no more than ( ( n n a ( n a b a b c. Each Ka,b,c has exactly abc hyperedges. Each hyperedge can be present in G or G with equal probability. So, the probability that all hyperedges of a particular K a,b,c are in G is ( abc. Therefore, the probability that a particular K a,b,c is present in either G or G is ( abc = abc. So, the probability p that some K a,b,c is either in G or in G, is ( ( ( n n a ( n a b a b c abc a a b b c c (π 3 abc ( a+b+c ( a+b+c abc. Using n > e and Stirling s approximation as in the proof of Theorem, we get p <, thereby ensuring the existence of a hypergraph G of n vertices such that neither G nor G has a K a,b,c. For details, see [0]. See Tables 3 and 4 for some computed lower bounds based on Theorem A lower bound for R (a, b, c using Lovász local lemma Theorem 0 If e ( abc ( abc ( ( n 3 a+b+c 3 + then R (a, b, c > n. a+b+c 3 b ( a+c c Proof: We perform analysis as done earlier in Section... Consider a random bicoloring of the hyperedges of the complete 3-uniform hypergraph of n vertices, in which each hyperedge is independently colored red or blue with equal probability. Let S be the set of hyperedges of an arbitrary K a,b,c, and let E S be the event that the K a,b,c is coloured monochromatically. For each such S, P (E S = abc. If we enumerate all possible K a,b,c s as S,S,...,S m, where m = ( ( n n a ( n a b a b c, and each Si is the set of all the hyperedges of the i th K a,b,c, then each event E Si is mutually independent of all the events from the set I j = {E Sj : S i S j = 0}. We claim that for each E Si, the number of events outside the set I j satisfies the inequality {E Sj : S i S j } abc ( ( n 3 a+b+c 3 ( a+c a+b+c 3 b c, as follows. Every Sj in this set shares at least one of the abc hyperedges of S i, and therefore S j shares at least three vertices with S i. We can choose the rest of the a + b + c 3 vertices of S j from the remaining n 3 vertices, out of which we can choose b for the second partite set of S j, and the remaining c for the third partite set of S j, thereby yielding a K a,b,c which shares at least one hyperedge edge with S i. Applying Corollary to the set of events E S,E S,...,E Sm, with p = abc and d = abc ( ( n 3 a+b+c 3 ( a+c a+b+c 3 b c yields ep(d +, implying P r [ m i= E ] S i > 0. Since no event ESi occurs for some random bicoloring of the hyperedges, no monochromatic K a,b,c exists in that bicoloring. This establishes the theorem.

17 JGAA, 7( ( See Tables 3 and 4 for some computed lower bounds based on Theorem 0; the values based on Theorem 0 to the right in each cell of these tables are much better than those based on Theorem 9, to the left in the respective cells. 5 Concluding remarks The probabilistic method is useful in establishing lower bounds for Ramsey numbers. It is worthwhile studying the application of Lovász local lemma, possibly more effectively and accurately, so that higher lower bounds may be determined. In our work we have considered bicolorings of K n and the existence of monochromatic complete bipartite subgraphs (K a,b in the unbalanced diagonal case, K a,b or K c,d in the unbalanced off-diagonal case in arbitrary bicolorings of the edges of K n ; some authors consider bicolorings of K n,n instead of bicolorings of K n, and derive bounds for corresponding Ramsey numbers. For values and bounds on such Ramsey numbers see []. For computing the lower bounds in Tables,, 3 and 4, we have used computer programs. The code for these programs are available from the authors on request. As the sizes of the complete bipartite graphs (tripartite 3-uniform hypergraphs grow, the computation time required for computing the lower bounds becomes prohibitive. Acknowledgements The authors acknowledge the anonymous referees for their valuable comments and suggestions.

18 688 T.K. Mishra, S.P. Pal Lower bounds for Ramsey numbers References [] A. E. Brouwer. Handbook of combinatorics (vol.. chapter Block designs, pages MIT Press, Cambridge, MA, USA, 995. [] S. A. Burr. Diagonal Ramsey numbers for small graphs. Journal of Graph Theory, 7(:57 69, 983. doi:0.00/jgt [3] S. A. Burr and J. A. Roberts. On Ramsey numbers for stars. Utilitas Mathematica, 4(:7 0, 973. [4] F. R. Chung and R. Graham. On multicolor Ramsey numbers for complete bipartite graphs. Journal of Combinatorial Theory, Series B, 8(:64 69, 975. doi:0.06/ ( x. [5] V. Chvátal and F. Harary. Generalized Ramsey theory for graphs. II. small diagonal numbers. Proceedings of the American Mathematical Society, 3(: , 97. URL: [6] P. Erdos and J. H. Spencer. Paul Erdos: the art of counting. Selected writings. Edited by Joel Spencer. MIT Press Cambridge, Mass, 973. [7] G. Exoo, H. Harborth, and I. Mengersen. On Ramsey number of k,n. Graph Theory, Combinatorics, Algorithms, and Applications, pages 07, 989. [8] F. Harary. Recent results on generalized Ramsey theory for graphs. In Y. Alavi, D. Lick, and A. White, editors, Graph Theory and Applications, volume 303 of Lecture Notes in Mathematics, pages Springer Berlin Heidelberg, 97. doi:0.007/bfb [9] R. Lortz and I. Mengersen. Bounds on Ramsey numbers of certain complete bipartite graphs. Results in Mathematics, 4(-:40 49, 00. doi: 0.007/BF [0] T. Mishra and S. Pal. Lower bounds for Ramsey numbers for complete bipartite and 3-uniform tripartite subgraphs. In S. Ghosh and T. Tokuyama, editors, WALCOM: Algorithms and Computation, volume 7748 of Lecture Notes in Computer Science, pages Springer Berlin Heidelberg, 03. doi:0.007/ _4. [] R. Motwani and P. Raghavan. Randomized algorithms. Cambridge University Press, New York, NY, USA, 995. [] S. Radziszowski. Small Ramsey numbers. The Electronic Journal on Combinatorics, pages 5, 0. URL: ejcram3.pdf. [3] A. E. Soifer. Ramsey Theory: Yesterday, Today, and Tomorrow. Progress in Mathematics, Vol. 85. Birkhäuser Basel, 0. [4] D. B. West. Introduction to Graph Theory. Prentice Hall, edition, 000.

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