Lecturer: Keith Ball
Term(s): Term 2
Status for Mathematics students: List A
Commitment: 30 Lectures
Assessment: Summer exam (100%)
Prerequisites: MA241 Combinatorics
Leads To: MA4J3 Graph Theory
Some or all of the following topics:
• Partially order sets: Dilworth's theorem, Sperner's theorem, the LYM inequality.
• Symmetric functions, Young Tableaux.
• Designs and codes: Latin squares, finite projective planes, error-correcting codes
• Colouring: the chromatic polynomial,
• Geometric combinatorics: Caratheodory's Theorem, Helly's Theorem, Radon's Theorem
• Probabilistic method: the existence of graphs with karge girth and high chromatic number, use of concentration bounds
• Matroid theory: basic concepts, Rado's Theorem
• Regularity method: regularity lemma without a proof, the existence of 3-APs in dense subsets of integers
To give the students an opportunity to learn some of the more advanced combinatorial methods, and to see combinatorics in a broader context of mathematics.
By the end of the module the student should be able to:
• state and prove particular results presented in the module
• adapt the presented methods to other combinatorial settings
• apply simple probabilistic and algebraic arguments to combinatorial problems
• use presented discrete abstractions of geometric and linear algebra concepts
• derive approximate results using the regularity method
R. Diestel: Graph Theory, Springer, 4th edition, 2012.
R. Stanley: Algebraic Combinatorics: Walks, Trees, Tableaux and More, Springer, 2013.