Discrete Mathematics

Chartrand and Zhang’s Discrete Mathematics presents a clearly written, student-friendly introduction to discrete mathematics. The authors draw from their background as researchers and educators to offer lucid discussions and descriptions fundamental to the subject of discrete mathematics. Unique among discrete mathematics textbooks for its treatment of proof techniques and graph theory, topics discussed also include logic, relations and functions (especially equivalence relations and objective functions), algorithms and analysis of algorithms, introduction to number theory, combinatorics (counting, the Pascal triangle, and the binomial theorem), discrete probability, partially ordered sets, lattices and Boolean algebras, cryptography, and finite-state machines. This highly versatile text provides mathematical background used in a wide variety of disciplines, including mathematics and mathematics education, computer science, biology, chemistry, engineering, communications, and business.

Some of the major features and strengths of this textbook: Numerous carefully explained examples and applications facilitate learning, More than 1,600 exercises, ranging from elementary to challenging, are included with hints/answers to all odd-numbered exercises, Descriptions of proof techniques are accessible and lively, Students benefit from the historical discussions throughout the textbook, An Instructor’s Solutions Manual contains complete solutions to all exercises.

Table of Contents

Chapter 0 – What is Discrete Mathematics?
Chapter 1 – Logic
Chapter 2 – Sets
Chapter 3 – Methods of Proof
Chapter 4 – Mathematical Induction
Chapter 5 – Relations and Functions
Chapter 6 – Algorithms and Complexity
Chapter 7 – Integers
Chapter 8 – Introduction to Counting
Chapter 9 – Advanced Counting Methods
Chapter 10 – Discrete Probability
Chapter 11 – Partially Ordered Sets and Boolean Algebras
Chapter 12 – Introduction to Graphs
Chapter 13 – Trees
Chapter 14 – Planar Graphs and Graph Colorings
Chapter 15 – Directed Graphs