SUBJECT

Title

Discrete mathematics II

Type of instruction

lecture

Level

master

Part of degree program
Credits

6

Recommended in

Semesters 1-4

Typically offered in

Autumn/Spring semester

Course description

Probabilistic methods: deterministic improvement of a random object. Construction of graphs with large girth and chromatic number.

Random graphs: threshold function, evolution around p=logn/n.  Pseudorandom graphs.

Local lemma and applications.

Discrepancy theory. Beck-Fiala theorem.

Spencer’s theorem. Fundamental theorem on the Vapnik-Chervonenkis dimension. 

Extremal combinatorics

Non- bipartite forbidden subgraphs: Erdős-Stone-Simonovits and Dirac theorems.

Bipartite forbidden subgraphs: Turan number of paths and K(p,q). Finite geometry and algebraic constructions.

Szemerédi’s regularity lemma and applications. Turán-Ramsey type theorems.

Extremal hypergraph problems: Turán’s conjecture.

Readings

Alon-SpencerThe probabilistic method, Wiley 2000.