Prerequisites:
Familiarity with discrete structures (such as MATH 443) is
desirable but not imperative. Talented
undergraduate students are welcome however good grades and some honours math courses are required.
Tue
Thu 11:00 - 12:30
Mathematics Annex 1118
Grading:
Homework assignments 40%, Take home midterm 20%, Take
home final 40%.
Course book
(recommended):
Laszlo
Lovasz, Combinatorial Problems and Exercises
There is
another nice book which is a great read; it is Stasys
Jukna’s Extremal
Combinatorics. (draft)
Course
Material and Topics:
Discrete
mathematics (combinatorics) is a fundamental mathematical discipline as well as
essential component of many mathematical areas, and its study has experienced
an impressive growth in recent years. While in the past many results in this
area were obtained mainly by ingenuity and detailed reasoning, the modern
theory has grown out of this early stage and often relies on deep,
well-developed tools.
The
main aim of this course is to introduce many core ideas from this topic, such
as extremal set theory, Ramsey theory and design theory as well as some of the
dominant proof techniques such as probabilistic methods and algebraic methods.
The
course outline follows (with sections taken from Lovasz’ book) with approximately 1 to 2 lectures being
spent on each topic.
· Basic enumeration methods (section 1)
· Connectivity in Graphs and Menger’s
theorem (section 6)
· Factors of Graphs and Tutte’s
theorem (section 7)
· Graph colourings and perfect
graphs (section 9)
· Block designs and Wilson’s theorem
· Extremal graph theory and Turan’s
theorem (section 10)
· Strongly regular graphs and algebraic methods (section 11)
· Hypergraphs and extremal set theory (section 13)
· Ramsey Theory and probabilistic methods (section 14)
Links
· Stirling numbers Notes from Gabor Hetyei.
· Combinatorial
proof to binomial identities I. Examples by Gary MacGillivray.
· Combinatorial proof to
binomial identities II. More advanced techniques from Jacques Verstraete.
· Graph Theory With Applications a book by J.A. Bondy and U.S.R. Murty.
· Probabilistic Methods in Extremal
Finite Set Theory by Noga Alon.
·
Monochromatic
Corners by Ron Graham and Jozsef Solymosi.
·
Regularity
Lemma a survey by Komlos et al.
·
Spectral
method examples
Problem Sets
1.
Enumerations
(Due Sept 24.)
·
subsets |2,|3
2.
Discrete
probability (Due Oct 1.)
3.
Problem set
3. (Due Oct 8.)
4.
Problem set
4. (Due Oct 22.)
5.
Problem set
5. (Due Oct 29.)
6.
Problem set
6. (Due Nov 12.)
7.
Problem set
7. (Due Nov 26.)
F.
Problem set
F. (Due Dec 11.)