Non-relativistic holography and massive Kaluza-Klein reductions
Abstract
Yukawa Couplings from Monad Bundles
Abstract
16:00
Cycles in directed graphs
Abstract
There are many theorems concerning cycles in graphs for which it is natural to seek analogous results for directed graphs. I will survey
recent progress on certain questions of this type. New results include
(i) a solution to a question of Thomassen on an analogue of Dirac’s theorem
for oriented graphs,
(ii) a theorem on packing cyclic triangles in tournaments that “almost” answers a question of Cuckler and Yuster, and
(iii) a bound for the smallest feedback arc set in a digraph with no short directed cycles, which is optimal up to a constant factor and extends a result of Chudnovsky, Seymour and Sullivan.
These are joint work respectively with (i) Kuhn and Osthus, (ii) Sudakov, and (iii) Fox and Sudakov.
Synchronization and homomorphisms
Abstract
A graph homomorphism is a mapping of vertices which takes edges to edges. The endomorphisms of a graph (homomorphisms to itself) form a submonoid of he full transformation monoid on the vertex set. In the other direction, there is a construction of a graph from a transformation monoid, which will be described in the talk. Composing these maps gives closure operators on graphs and on monoids which have some interesting properties. There are also connections with finite automata and permutation groups.
The scaling limit of critical random graphs
Abstract
Consider the Erdos-Renyi random graph $G(n,p)$ inside the critical window, so that $p = n^{-1} + \lambda n^{-4/3}$ for some real \lambda. In
this regime, the largest components are of size $n^{2/3}$ and have finite surpluses (where the surplus of a component is the number of edges more than a tree that it has). Using a bijective correspondence between graphs and certain "marked random walks", we are able to give a (surprisingly simple) metric space description of the scaling limit of the ordered sequence of components, where edges in the original graph are re-scaled by $n^{-1/3}$. A limit component, given its size and surplus, is obtained by taking a continuum random tree (which is not a Brownian continuum random tree, but one whose distribution has been exponentially tilted) and making certain natural vertex identifications, which correspond to the surplus edges. This gives a metric space in which distances are calculated using paths in the original tree and the "shortcuts" induced by the vertex identifications. The limit of the whole critical random graph is then a collection of such
metric spaces. The convergence holds in a sufficiently strong sense (an appropriate version of the Gromov-Hausdorff distance) that we are able to deduce the convergence in distribution of the diameter of $G(n,p)$, re-scaled by $n^{-1/3}$, to a non-degenerate random variable, for $p$ in the critical window.
This is joint work (in progress!) with Louigi Addario-Berry (Universite de Montreal) and Nicolas Broutin (INRIA Rocquencourt).
The t-dependence and t-improper chromatic numbers of random graphs
Abstract
We consider a natural generalisation of the independence and chromatic numbers and study their behaviour in Erdos-Renyi random graphs. The t-dependence number of a graph G is the size of the largest subset of the vertices of G whose induced subgraph has maximum degree at most t. The t-improper chromatic number of G is the smallest number of parts needed in a partition of the vertex set of G such that each part induces a subgraph of maximum degree at most t. Clearly, when t = 0, these parameters are, respectively, the independence and chromatic numbers of G. For dense random graphs, we determine the asymptotic ehaviour of these parameters over the range of choices for the growth of t as a function of the number of vertices.
This is joint work with Nikolaos Fountoulakis and Colin McDiarmid.