# Discrete Math Lecture Notes

by Zeph Grunschlag
 Topics Lecture Download Introduction: course policies; Overview, Logic, Propositions ppt Tautologies, Logical Equivalences ppt Predicates and Quantifiers: "there exists" and "for all" ppt Sets: curly brace notation, cardinality, containment, empty set {, power set P(S), N-tuples and Cartesian product. Set Operations: set operations union and disjoint union, intersection, difference, complement, symmetric difference ppt Functions: domain, co-domain, range; image, pre-image; one-to-one, onto, bijective, inverse; functional composition and exponentiation; ceiling and floor. Sequences, Series, Countability: Arithmetic and geometric sequences and sums, countable and uncountable sets, Cantor's diagonilation argument. ppt Big-Oh, Big-Omega, Big-Theta: Big-Oh/Omega/Theta notation, algorithms, pseudo-code, complexity. ppt Integers: Divisors Primality Fundamental Theorem of Arithmetic. Modulii: Division Algorithm, Greatest common divisors/least common multiples, Relative Primality, Modular arithmetic, Caesar Cipher, ppt Number Theoretic Algorithms: Euclidean Algorithm for GCD; Number Systems: Decimal, binary numbers, others bases; ppt RSA Cryptography: General Method, Fast Exponentiation, Extended Euler Algorithm, Modular Inverses, Exponential Inverses, Fermat's Little Theorem, Chinese Remainder Theorem ppt readme Proof Techniques. ppt Induction Proofs: Simple induction, strong induction, program correctness ppt Recursion: Recursive Definitions, Strings, Recursive Functions. ppt Counting Fundamentals: Sum Rule, Product Rule, Inclusion-Exclusion, Pigeonhole Principle Permutations. ppt r-permutations: P(n,r), r-combinations: C(n,r), Anagrams, Cards and Poker; Discrete probability: NY State Lotto, Random Variables, Expectation, Variance, Standard Deviation. ppt Stars and Bars. ppt Recurrence Relations: linear recurrence relations with constant coefficients, homogeneous and non-homogeneous, non-repeating and repeating roots; Generelized Includsion-Exclusion: counting onto functions, counting derangements ppt Representing Relations: Subsets of Cartesian products, Column/line diagrams, Boolean matrix, Digraph; Operations on Relations: Boolean, Inverse, Composition, Exponentiation, Projection, Join ppt Graph theory basics and definitions: Vertices/nodes, edges, adjacency, incidence; Degree, in-degree, out-degree; Degree, in-degree, out-degree; Subgraphs, unions, isomorphism; Adjacency matrices. Types of Graphs: Trees; Undirected graphs; Simple graphs, Multigraphs, Pseudographs; Digraphs, Directed multigraph; Bipartite; Complete graphs, cycles, wheels, cubes, complete bipartite. ppt Connectedness, Euler and Hamilton Paths ppt Planar Graphs, Coloring ppt Reading Period. Review session TBA. ppt