Georgia Institute of Technology College of Sciences

For given graphs $G$ and $H$ and a graph $F$, we say that $F$ is Ramsey for $(G, H)$ and we write $F \longrightarrow (G,H)$, if for every $2$-edge coloring of $F$, with colors red and blue, the graph $F$ contains either a red copy of $G$ or a blue copy of $H$. A natural question is how few vertices can a graph $F$ have, such that $F \longrightarrow (G,H)$? Frank P. Ramsey studied this question and proved that for given graphs $G$ and $H$, there exists a positive integer $n$ such that for the complete graph $K_n$ we have $ K_n \longrightarrow (G,H)$. The smallest such $n$ is known as the Ramsey number of $G$, $H$ and is denoted by $R(G, H)$. Instead of minimizing the number of vertices, one can ask for the minimum number of  edges of such a graph, i.e. can we find a graph which possibly has more vertices than $R(G, H)$, but has fewer edges and still is Ramsey for $(G,H)$? How many edges suffice to construct a graph which is Ramsey for $(G,H)$? The attempts at answering the last question give rise to the notion of size-Ramsey number of graphs. In 1978, Erdős, Faudree, Rousseau and Schelp pioneered the study of the size-Ramsey number to be the minimum number of edges in a graph $F$, such that $F$ is Ramsey for $(G,H)$. In this talk, first I will give a short history about the size Ramsey number of graphs with a special focus on sparse graphs. Moreover, I will talk about the multicolor case of the size Ramsey number of cycles with more details.

The clique chromatic number of a graph is the smallest number of colors in a vertex coloring so that no inclusion-maximal clique is monochromatic (ignoring isolated vertices). 

For the binomial random graph G_{n,p} the clique chromatic number has been studied in a number of works since 2016, but for sparse edge-probabilities in the range n^{-2/5} \ll p \ll 1 even the order of magnitude remained a technical challenge.

Resolving open problems of Alon and Krivelevich as well as Lichev, Mitsche and Warnke, we determine the clique chromatic number of the binomial random graph G_{n,p} in most of the missing regime: we show that it is of order (\log n)/p for edge-probabilities n^{-2/5+\eps} \ll p \ll n^{-1/3} and n^{-1/3+\eps} \ll p \ll 1, for any constant \eps > 0.

Perhaps surprisingly for a result about random graphs, a key ingredient in the proof is an application of the probabilistic method (that hinges on careful counting and density arguments).

This talk is based on joint work with Lutz Warnke.

The rank of a point $p$ with respect to a non-degenerate variety is the smallest number of the points in the variety that spans the point $p$. Studies about the ranks of points are important in various areas of applied mathematics and engineering in the sense that they are the smallest number of summands in the decompositions of vectors into combinations of simple vectors.

In the last talk, we discussed how to generate points of given ranks with respect to the rational normal curves. We continue to discuss some known facts via Macaulay 2 and how to find the list of all ranks of points in linear spaces.

Links to Teams: https://teams.microsoft.com/l/meetup-join/19%3a3a9d7f9d1fca4f5b991b4029b09c69a1%40thread.tacv2/1650576543136?context=%7b%22Tid%22%3a%22482198bb-ae7b-4b25-8b7a-6d7f32faa083%22%2c%22Oid%22%3a%221269007f-fe20-4c2c-b6fa-a7e0eff0131e%22%7d