1. Maximum density of copies of a graph in the n-cube John Goldwasser Ryan Hansen West Virginia University

2. Q n is the n-cube. V(Q n ) all binary n-tuples. Two vertices joined by an edge iff differ in precisely one coordinate. A sub-d-cube has d coordinates that vary, n fixed. Example with n=10 and d=4: 1 0 * 1 * * 0 1 * 1 There are C(n,d)2 (n-d) sub-d-cubes of Q n

3. Let d and n be integers (d much smaller than n) Let H be a set of vertices in a d-cube (which we call a configuration) MAIN QUESTION: How do you choose vertices in an n-cube so that the maximum possible fraction of sub- d-cubes have an “exact copy of H”? Example with d=3 H Not copy of H Copy of H

4. Formally, given a subset H of the vertices of a d-cube, if S n is a subset of V(Q n ), we let G(H,d,n,S n ) be the number of sub-d- cubes whose intersection with S n is a copy of H. We let g(H,d,n) = max G(H,d,n,S n )/total # sub-d-cubes (max over all subsets S n of V(Q n ) An averaging argument shows that g(H,d,n) is a nonincreasing function of n, so we let π(H,d) denote its limit as n goes to infinity, and refer to it as the d-cube density of H. So π(H,d) is the limit as n goes to infinity of the maximum possible fraction of sub-d-cubes which can have a copy of H. For the given H above, our construction shows that F(H,3) ≥ ¾. We conjecture that equality holds.

5. Example: H We’ll show π(H,2) = ½ Lower bound construction: Partition the set {1,2,3,…,n} of coordinates into sets A and B. Let S n be the set of all vertices in Q n such that the number of 1’s in A is even. If a Q 2 subgraph has one coordinate in A and one in B then it will have an exact copy of H. If A and B are each n/2, that’s half of the Q 2 ’s. So ½ ≤ π(H,2)

6. For the upper bound, each vertex in a copy of H is adjacent to one vertex in H which is in S n and one which is not. Each vertex v in the Q n is in C(n,2) sub-2-cubes. Only those in which one neighbor is in S n and one is not have a chance of being a “good” Q 2. This is at most roughly half of the sub-2-cubes containing v. Since the maximum fraction of “good” sub-2-cubes at any vertex is ½, certainly the maximum fraction overall is at most ½.

7. We define π local (H,d) to be the limit as n goes to infinity of the maximum fraction of “good” sub-d- cubes at any vertex v for any subset S n of V(Q n ). Certainly it is at least as big as π(H,d). We have: ½ ≤ π(H,2) ≤ π local (H,2) ≤ ½ So π(H,2) = ½.

8. If K is the subset of the 2-cube shown at the right, then π(K,2) = 1. (Just choose all vertices the sum of whose coordinates is even. ) In general, π(H,d) is hard to determine. We have found its value in only a few special cases. For the vertex configuration R in Q₃ shown at the right, π(R,3) = 4/9.

9. Let P d be a single vertex in Q d. we have been unable to determine f(R,d) for any d≥2. A simple construction (choose all vertices with weight a multiple of 3) shows that f(P 2,2) ≥ 2/3. Using flag algebras, Rahil Baber has shown f(P 2,2) ≤.6858 f(P 3,3) ≤.6101 f(P 4,4) ≤.6026 (Is this a monotone sequence? Can you prove it?)

10. My Conjecture: For sufficiently large d, π(P d,d) = [(d-1)/d] (d-1) (what you get if you choose each vertex with probability 1/2 d ) Of course this is close to 1/e.

11. Easy Proposition: For any configuration H in Q d, π(H,d) ≥ d!/d d (obtained from a “blow-up” of H) Example with n = 4, H = {1001, 1101, 0010} Partition {1,2,3,…,n} into 4 sets of equal size and put the following vertices into S: A B C D odd even even odd odd odd even odd even even odd even If a sub-4-cube has one vertex in each of A,B,C,D then it will have a copy of H. Probability is 4!/4 4.

12. If d=3, there are 14 isomorphically distinct vertex configurations H with at most 4 vertices. We have been able to determine π(H,3) for 4 of them. The smallest upper bound is.30476 for two adjacent vertices (3!/3 3 =.2222) If d=4, there are 238 isomorphically distinct vertex configurations H with at most 8 vertices. We have been able to determine π(H,4) for about 6 of them. All but two of the flag algebra upper bounds are at least.100.

13. The other two have flag algebra upper bounds of.09421 and.09375 They are both 8-cycles.

14. There are three isomorphically distinct configurations of 8 vertices in Q₄ which induce an 8-cycle. Of these, one is a “perfect” 8-cycle: 4 pairs of vertices distance 4 apart. The perfect 8-cycle C 8 0000 1000 1100 1110 1111 0111 0011 0001

15. Main Theorem: π(C 8, 4) = 4!/4 4 = 3/32 =.09375 Conjecture: π(C 2d, d) = d!/d d for all d>3. The conjecture can’t hold for d=3. Letting S be all vertices in Q n with weight not a multiple of 3 is a construction which shows that π(C 6,3) is at least 3/9, and 3!/3 3 = 2/9. To prove the theorem it suffices to prove π local (C 8,4) ≤ 3/32, Because then: 3/32 ≤ π(C 8, 4) ≤ π local (C 8, 4) ≤ 3/32

16. Let P d+1 denote a “perfect path” in Q d : d+1 vertices in Q d where the Hamming distance between the two end-vertices is d. Theorem: π(P 4, 3) = 3/8 (Proof is using sequence with “Property V”) Conjecture: π(P d+1, d) = d!/(d+1) (d-1) if d ≥ 3.

17. To do this we considered the set of all sequences of d distinct elements from {1,2,3,…,n}. We showed that the limit, as n goes to infinity, of the fraction of these that satisfy a certain condition we call Property U is equal to π local (C 8, 4). Then we showed that the maximum fraction of these sequences that have Property U is equal to the maximum fraction of sets of 4 vertices in a bipartite graph which span 2 disjoint edges.

18. Theorem: Let G be a bipartite graph with n vertices. Then the number of sets of 4 vertices in G which span 2 disjoint edges is at most n 4 /256. Equality holds iff G is 2 disjoint copies of K n/2, n/2. The fraction of “good” sets of 4 vertices is the limit as n goes to infinity of [n 4 /256]/C(n,4), which is 3/32.

19. The problem of finding the graph (not necessarily bipartite) on n vertices which has the greatest number of sets of 4 vertices which span 2 disjoint edges is a special case of a problem solved about 20 years ago by Bollobás, J. Brown and Siderenko. They showed that among the host graphs on n vertices which span the most copies of a complete bipartite graph is one which itself is complete bipartite. Two disjoint edges is the complement of K 2,2 and a simple calculation shows that K n/2, n/2 has the most induced copies of K 2,2 so two copies of K n/2 has the most induced copies of 2 disjoint edges.

20. Comments and questions For what other vertex configurations H in the d-cube can π(H,d) be calculated? What about edge configurations, rather than vertex configurations? (We have some results.) Which bipartite graph with n vertices has the most sets of six vertices which induce three disjoint edges? Is the obvious conjecture correct?

21. Thank you!