Discrete Mathematics Group at URI
The faculty of our group is interested in a wide range of areas in discrete mathematics
both pure and applied: graph theory, network theory, extremal and probabilistic methods,
analytic methods, finite model theory, combinatorial games, combinatorial optimization,
bioinformatics applications.
Seminar
Our seminar is held Fridays 1-2pm, Lippitt 204.
Seminar archive.
Speaker | Daniel Cranston, Virginia Commonwealth University |
Title | Proper Conflict-free Coloring of Graphs with Large Maximum Degree |
Time | Friday November 1, 2024, 1pm, online in zoom (email thoma@math.uri.edu for a link) |
Abstract | A proper coloring of a graph is \emph{conflict-free} if, for every non-isolated vertex, some color is used exactly once on its neighborhood. Caro, Petru\v{s}evski, and \v{S}krekovski proved that every graph $G$ has a proper conflict-free coloring with at most $5\Delta(G)/2$ colors and conjectured that $\Delta(G)+1$ colors suffice for every connected graph $G$ with $\Delta(G)\ge 3$. Our first main result is that even for list-coloring, $\left\lceil1.6550826\Delta(G)+\sqrt{\Delta(G)}\right\rceil$ colors suffice for every graph $G$ with $\Delta(G)\ge 10^{8}$; we also prove slightly weaker bounds for all graphs with $\Delta(G)\ge 750$. These results follow from our more general framework on proper conflict-free list-coloring of a pair consisting of a graph $G$ and a ``conflict'' hypergraph $H$. Our proof uses a fairly new type of recursive counting argument called Rosenfeld counting, which is a variant of the Lov\'{a}sz Local Lemma or entropy compression. This is joint work with Chun-Hung Liu. |
News
Faculty and their research
Michael Barrus, graph theory
Nancy Eaton, graph theory
Barbara Kaskosz, analysis
and its applications to discrete mathematics
William Kinnersley,
graph theory and combinatorial games
Lubos Thoma, extremal and probabilistic combinatorics
Doctoral students
Lilith Wagstrom
John Jones
Graduate courses
MTH547 Combinatorics,
MTH548 Graph Theory,
MTH515/516 Algebra,
MTH550 Probability and Stochastic Processes,
MTH581 Optimization Methods,
MTH656 Probability on Discrete Structures,
CSC541 Advanced Topics in Algorithms,
CSC542 Mathematical Analysis of Algorithms,
CSC544 Theory of Computation,
Special topics courses in Extremal Graph Theory, Ramsey Theory, Algebraic Combinatorics.
Discrete mathematics nearby
MIT Combinatorics seminar | Brown Combinatorics seminar / applied seminars | |
MIT Probability seminar | Yale Combinatorics and probability seminar | |
ICERM | CMSA |