L6

In practice, stochastic decision problems are often based on statistical estimates of probabilities. We all know that statistical error may be significant, but it is often not so clear how to incorporate it into our decision making. In this informal talk, we will look at one approach to this problem, based on the theory of nonlinear expectations. We will consider the large-sample theory of these estimators, and also connections to `robust statistics' in the sense of Huber.

A Steiner Triple System on a set X is a collection T of 3-element subsets of X such that every pair of elements of X is contained in exactly one of the triples in T. An example considered by Plücker in 1835 is the affine plane of order three, which consists of 12 triples on a set of 9 points. Plücker observed that a necessary condition for the existence of a Steiner Triple System on a set with n elements is that n be congruent to 1 or 3 mod 6. In 1846, Kirkman showed that this necessary condition is also sufficient. In 1974, Wilson conjectured an approximate formula for the number of such systems. We will outline a proof of this
conjecture, and a more general estimate for the number of Steiner systems. Our main tool is the technique of Randomised Algebraic Construction, which
we introduced to resolve a question of Steiner from 1853 on the existence of designs.

In the theory of random graphs, the behaviour of the typical largest component was studied a lot. The initial results on G(n,m), the random graph on n vertices and m edges, are due to Erdős and Rényi. Recently, similar results for planar graphs were obtained by Kang and Łuczak.

In the first part of the talk, we will extend these results on the size of the largest component further to graphs embeddable on the orientable surface S_g of genus g>0 and see how the asymptotic number and properties of cubic graphs embeddable on S_g are used to obtain those results. Then we will go through the main steps necessary to obtain the asymptotic number of cubic graphs and point out the main differences to the corresponding results for planar graphs. In the end we will give a short outlook to graphs embeddable on surfaces with non-constant genus, especially which results generalise and which problems are still open.

We purify and generalize some techniques which were successful in the limit theory of graphs and other discrete structures. We demonstrate how this technique can be used for solving different combinatorial problems, by defining the limit problems of the Manickam--Miklós--Singhi Conjecture, the Kikuta–Ruckle Conjecture and Alpern's Caching Game.

Many of the fastest known algorithms for factoring large integers rely on finding subsequences of randomly generated sequences of integers whose product is a perfect square. Motivated by this, in 1994 Pomerance posed the problem of determining the threshold of the event that a random sequence of N integers, each chosen uniformly from the set
{1,...,x}, contains a subsequence, the product of whose elements is a perfect square. In 1996, Pomerance gave good bounds on this threshold and also conjectured that it is sharp.

In a paper published in Annals of Mathematics in 2012, Croot, Granville, Pemantle and Tetali significantly improved these bounds, and stated a conjecture as to the location of this sharp threshold. In recent work, we have confirmed this conjecture. In my talk, I shall give a brief overview of some of the ideas used in the proof, which relies on techniques from number theory, combinatorics and stochastic processes. Joint work with Béla Bollobás and Robert Morris.

For a fixed degree sequence D=(d_1,...,d_n), let G(D) be a uniformly chosen (simple) graph on {1,...,n} where the vertex i has degree d_i. The study of G(D) is of special interest in order to model real-world networks that can be described by their degree sequence, such as scale-free networks. While many aspects of G(D) have been extensively studied, most of the obtained results only hold provided that the degree sequence D satisfies some technical conditions. In this talk we will introduce a new approach (based on the switching method) that allows us to study the random graph G(D) imposing no conditions on D. Most notably, this approach provides a new criterion on the existence of a giant component in G(D). Moreover, this method is also useful to determine whether there exists a percolation threshold in G(D). The first part of this talk is joint work with F. Joos, D. Rautenbach and B. Reed, and the second part, with N. Fountoulakis and F. Joos.

For any given graph H, we may define a natural corresponding functional ||.||_H. We then say that H is norming if ||.||_H is a semi-norm. A similar notion ||.||_{r(H)} is defined by || f ||_{r(H)}:=|| | f | ||_H and H is said to be weakly norming if ||.||_{r(H)} is a norm. Classical results show that weakly norming graphs are necessarily bipartite. In the other direction, Hatami showed that even cycles, complete bipartite graphs, and hypercubes are all weakly norming. Using results from the theory of finite reflection groups, we demonstrate that any graph which is edge-transitive under the action of a certain natural family of automorphisms is weakly norming. This result includes all previous examples of weakly norming graphs and adds many more. We also include several applications of our results. In particular, we define and compare a number of generalisations of Gowers' octahedral norms and we prove some new instances of Sidorenko's conjecture. Joint work with David Conlon.