In this paper we will give all Ramsey numbers r(K3, G) for connected graphs G of order 7 and 8. For smaller orders and non-connected graphs of order up to 8, the number of graphs with given Ramsey number is listed for all possible values.

We give a characterization for isoperimetric invariants, including the Cheeger constant and the isoperimetric number of a graph. This leads to an isoperimetric inequality for the Cartesian products of graphs.

A class of completely symmetric simple Venn diagrams for seven sets is constructed and displayed.

Let M be a loopless matroid with rank r and c components. Let P(M, t) be the characteristic polynomial of M. We shall show that (−1)rP(M, t)[ges ](1−t)r for t∈(−∞, 1), that the multiplicity of the zeros of P(M, t) at t=1 is equal to c, and that (−1)r+cP(M, t)[ges ](t−1)r for t∈(1, 32/27]. Using a result of C. Thomassen we deduce that the maximal zero-free intervals for characteristic polynomials of loopless matroids are precisely (−∞, 1) and (1, 32/27].

Deuber's theorem states that, given any m, p, c, r in IN, there exist n, q, μ in IN such that, whenever an (n, q, cμ)-set is r-coloured, there is a monochrome (m, p, c)-set. This theorem has been used in conjunction with the algebraic structure of the Stone–Čech compactification βIN of IN to derive several strengthenings of itself. We present here an algebraic proof of the main results in βIN and derive Deuber's theorem as a consequence.

We study the concept of list total colourings and prove that every multigraph of maximum degree 3 is 5-total-choosable. We also show that the total choice number of a graph of maximum degree 2 is equal to its total chromatic number.

We study three quantities that can each be viewed as the time needed for a finite irreducible Markov chain to ‘forget’ where it started. One of these is the mixing time, the minimum mean length of a stopping rule that yields the stationary distribution from the worst starting state. A second is the forget time, the minimum mean length of any stopping rule that yields the same distribution from any starting state. The third is the reset time, the minimum expected time between independent samples from the stationary distribution.

Our main results state that the mixing time of a chain is equal to the mixing time of the time-reversed chain, while the forget time of a chain is equal to the reset time of the reverse chain. In particular, the forget time and the reset time of a time-reversible chain are equal. Moreover, the mixing time lies between absolute constant multiples of the sum of the forget time and the reset time.

We also derive an explicit formula for the forget time, in terms of the 'access times' introduced in [11]. This enables us to relate the forget and reset times to other mixing measures of the chain.

Let X be a vertex-transitive graph and let S be an arbitrary finite subset of its vertices. Denote by @∂S the set of vertices adjacent to S but not in S. Babai and Szegedy proved that for an infinite, connected, locally finite X with subexponential growth we have

formula here

where d(S) is the diameter of S. The aim of this note is to provide a slightly better, tight lower bound on this quantity. We prove that

formula here

under the same conditions.

It was conjectured by Bartels and Welsh [1] that removing an edge from an n-vertex graph G will not increase the average number of colours in the proper colourings of G if k=n colours are available. This paper shows that for all n>3, and for each k∈{3, 4, …, [lfloor ](3n−6)/2[rfloor ]}, there is a graph on n vertices with an edge whose removal increases the average number of colours in the k-colourings, thus disproving the conjecture.

Let kp(G) denote the number of complete subgraphs of order p in the graph G. Bollobás proved that any real linear combination of the form [sum ]apkp(G) attains its maximum on a complete multipartite graph. We show that the same is true for a linear combination of the form [sum ]apkp(G) +bpkp(G¯), provided bp[ges ]0 for every p.

We consider probability spaces which contain a family {EA[ratio ]A⊆{1, 2, …, n}, [mid ]A[mid ]=k} of events indexed by the k-element subsets of {1, 2, …, n}. A pair (A, B) of k-element subsets of {1, 2, …, n} is called a shift pair if the largest k−1 elements of A coincide with the smallest k−1 elements of B. For a shift pair (A, B), Pr[AB¯] is the probability that event EA is true and EB is false. We investigate how large the minimum value of Pr[AB¯], taken over all shift pairs, can be. As n→∞, this value converges to a number λk, with ½−1/2k+2[les ]λk[les ] ½−1/4k+2. We show that λk is a strictly increasing function of k, with λ1=¼ and λ2=1/3.

For k=1, our results have the following natural interpretation. If a fair coin is tossed repeatedly, and event Ei is true when the ith toss is heads, then for all i and j with i<j, Pr[EiĒj]=¼. Furthermore, as we show in this paper, for any ε>0, there is an n such that for any sequence E1, E2, …, En of events in an arbitrary probability space, there are indices i<j with Pr[EiĒj]<¼+ε. The results and techniques we develop in this research, together with further applications of Ramsey theory, are then used to show that the supremum of fractional dimensions of interval orders is exactly 4, answering a question of Brightwell and Scheinerman.

Generalizing the ¼+ε result to random variables X1, X2, …, Xn with values in an m-element set, we obtain a finite version of de Finetti's theorem without the exchangeability hypothesis: for any fixed m, k and ε, every sufficiently long sequence of such random variables has a length-k subsequence at variation distance less than ε from an i.i.d. mix.