Discussion of the syllabus/administrative business
Discussed the 4 basic principles of counting (addition, multiplication, subtraction, division), ordered enumeration v.s. unordered enumeration, counting with and without repetition, worked some introductory examples
Textbook reference: Section 2.1 of Brualdi (roughly)
Introduced permutations (ordered enumeration)
Introduced combinations(unordered enumeration)
Textbook reference: Sections 2.2-2.3 Brualdi
Introduced mutliset permutations, nonattacking rook configurations
Introduced multiset combinations
Textbook Reference: Sections 2.4-2.5 Brualdi
Further discussion of multiset combinations; counting nonnegative integer solutions to a linear equations
Finite Probability; Poker hands
Textbook reference: Sections 2.5-2.6 Brualdi
Substitute Lecturer: Dr. Eric Katz
Pigeonhole Principle (simple and strong forms)
Textbook Reference: Sections 3.1-3.2 Brualdi
Introductory Ramsey Theory: using pigeonhole principle to for monochromatic triangles, existence of Ramsey numbers, Ramsey number inequality
Textbook Reference: Section 3.3 Brualdi
Binomial Coefficients Part 1
Combinatorial Interpretations: subsets, bit strings, lattice paths
Combinatorial Proofs
Binomial Theorem
Textbook Reference: parts of sections 5.1 and 5.2 Brauldi; section 1.11 Sagan
Binomial Coefficients Part 2
More combinatorial proof and proofs with binomial theorem
Textbook ref: sec. 5.3 Brualdi
Binomial Coefficients Part 3
Multinomial Coefficients and the Multinomial Theorem
Newton's Binomial Theorem, approximating square roots
Textbook reference: sec. 5.4-5.5 Brualdi
Finished discussion on approximating square roots
Introduced Posets
Dilworths Thm.
Textbook ref: sec 5.6 (and 4.5 to a degree) Brualdi
Finished discussion of Dilworth's Thm
Begin Section of Sieve Methods
Introduce Principle of Inclusion-Exclusion (PIE)
PIE applied to multiset permutations
PIE applied to Derangements
Recap of derangements (probability of a derangement from a random permutation)
Generalizing derangements--forbidden positions in a permutation
Relative forbidden positions in a permutation (PIE)
Introduced Sign-Reversing Involutions (See Sec. 2.2 of Counting the Art of Combinatorics)
Substitute Lecturer: Dr. Hans Pashall
Catalan Numbers (Combinatorial definition, proof of closed form, convolution recurrence, other Catalan objects)
More Sign-Reversing Involutions
Set Partitions and Stirling Numbers (of the 2nd kind)
A sign-reversing involution using Stirling numbers/set partitions
Introduction to Ordinary Generating Functions (OGFs)
Using OGFs for a closed form of the Fibonacci Numbers
Another example of using OGFs to find closed forms for recurrence relations
Introduced compositions
Proved that compositions with 1's and 2's are enumerated by Fibonacci numbers
Briefly discussed how to construct an OGF for counting compositions with various restrictions.
An example of an OGF for counting compositions containing only certain parts with various colors or weights
An example of an OGF for weighted compositions with no restriction on parts
Introduction to Exponential Generating Functions (EGFs)
EGF example for a multiset permutation with various restrictions on when elements can appear
EGF example for coloring squares of a 1 x n chessboard with various restrictions
Return to OGFs: Began computing the Catalan OGF
Finished discussion of the Catalan OGF
Concluded (direct) discussion of generating functions by stating a Theorem: A sequence has a rational ordinary generating function if and only if the sequence can be expressed as a linear recurrence relation with constant coefficients.
Began discussing q-analogues:
q-integers
q-factorials: Both the ``naive" description from q-integers, as well as the combinatorial description from inversions in permutations. Proved these are equivalent.
Discussed the 4 equivalent formulations of the q-binomial coefficient
Stated the q-binomial theorem