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- Official handout
- Course
- MTH202 Discrete Mathematics
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- PDF 3.4 MB
- Updated
- 23 Oct 2026
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Table of Contents
LOGIC ...................................................................................................................... 3
LAWS OF LOGIC ................................................................................................... 14
ARGUMENT .......................................................................................................... 25 APPLICATIONS OF LOGIC .................................................................................. 30 SET THEORY ......................................................................................................... 37 VENN DIAGRAM .................................................................................................. 42 SET IDENTITIES ................................................................................................... 54 LECTURE NO.10 APPLICATIONS OF VENN DIAGRAM ................................................................ 61 LECTURE NO.11 RELATIONS ........................................................................................................... 70 LECTURE NO.12 TYPES OF RELATIONS ........................................................................................ 77 LECTURE NO.13 MATRIX REPRESENTATION OF RELATIONS ................................................... 88 LECTURE NO.14 INVERSE OF RELATIONS .................................................................................... 95 LECTURE NO.15 FUNCTIONS ........................................................................................................ 101 LECTURE NO.16 TYPES OF FUNCTIONS ...................................................................................... 111 LECTURE NO.17 INVERSE FUNCTION.......................................................................................... 123 LECTURE NO.18 COMPOSITION OF FUNCTIONS ........................................................................ 134 LECTURE NO.19 SEQUENCE .......................................................................................................... 144 LECTURE NO.20 SERIES ................................................................................................................. 150 LECTURE NO.21 RECURSION I ...................................................................................................... 159 LECTURE NO.22 RECURSION II ..................................................................................................... 165 LECTURE NO.23 MATHEMATICAL INDUCTION ......................................................................... 170 LECTURE NO.24 MATHEMATICAL INDUCTION FOR DIVISIBILITY ........................................ 179 LECTURE NO.25 METHODS OF PROOF ........................................................................................ 186 LECTURE NO.26 PROOF BY CONTRADICTION ........................................................................... 193 LECTURE NO.27 ALGORITHM ....................................................................................................... 201 LECTURE NO.28 DIVISION ALGORITHM ..................................................................................... 205 LECTURE NO.29 COMBINATORICS .............................................................................................. 209 LECTURE NO.30 PERMUTATIONS ................................................................................................ 217 LECTURE NO.31 COMBINATIONS ................................................................................................. 225 LECTURE NO.32 K-COMBINATIONS ............................................................................................. 231 LECTURE NO.33 TREE DIAGRAM ................................................................................................. 237 LECTURE NO.34 INCLUSION-EXCLUSION PRINCIPLE .............................................................. 245 LECTURE NO.35 PROBABILITY ..................................................................................................... 250 LECTURE NO.36 LAWS OF PROBABILITY ................................................................................... 257 LECTURE NO. 37 CONDITIONAL PROBABILITY ........................................................................ 267 LECTURE NO. 38 RANDOM VARIABLE ........................................................................................ 274 LECTURE NO. 39 INTRODUCTION TO GRAPHS .......................................................................... 283 LECTURE NO. 40 PATHS AND CIRCUITS ..................................................................................... 292 LECTURE NO. 41 MATRIX REPRESENTATION OF GRAPHS ...................................................... 298 LECTURE NO. 42 ISOMORPHISM OF GRAPHS ............................................................................. 305 LECTURE NO. 43 PLANAR GRAPHS ............................................................................................. 314 LECTURE NO. 44 TREES ................................................................................................................. 321 LECTURE NO. 45 SPANNING TREES ............................................................................................. 329 1Logic
Logic
Course Objective:
- Express statements with the precision of formal logic
- Analyze arguments to test their validity
- Apply the basic properties and operations related to sets
- Apply to sets the basic properties and operations related to relations and function
- Define terms recursively
- Prove a formula using mathematical induction
- Prove statements using direct and indirect methods
- Compute probability of simple and conditional events
- Identify and use the formulas of combinatorics in different problems
- Illustrate the basic definitions of graph theory and properties of graphs
- Relate each major topic in Discrete Mathematics to an application area in computing
1.Recommended Books:
- Discrete Mathematics with Applications (second edition) by Susanna S. Epp
- Discrete Mathematics and Its Applications (fourth edition) by Kenneth H. Rosen
- Discrete Mathematics by Ross and Wright
MAIN TOPICS:
- Logic
- Sets & Operations on sets
- Relations & Their Properties
- Functions
- Sequences & Series
- Recurrence Relations
- Mathematical Induction
- Loop Invariants
- Combinatorics
- Probability
- Graphs and Trees
Continuous
Discrete
1-Logic
Set of Integers:
-2 -1
Set of Real Numbers:
-3 -2 -1
What is Discrete Mathematics?:
Discrete Mathematics concerns processes that consist of a sequence of individual steps.
LOGIC:
Logic is the study of the principles and methods that distinguishes between a valid and an invalid argument.
SIMPLE STATEMENT:
A statement is a declarative sentence that is either true or false but not both. A statement is also referred to as a proposition Example: 2+2 = 4, It is Sunday today If a proposition is true, we say that it has a truth value of "true”. If a proposition is false, its truth value is "false". The truth values “true” and “false” are, respectively, denoted by the letters T and F.
EXAMPLES:
- Grass is green.
- 4 + 2 = 6
- 4 + 2 = 7
- There are four fingers in a hand.
are propositions
Rule:
If the sentence is preceded by other sentences that make the pronoun or variable reference clear, then the sentence is a statement.
Example:
x = 1 x > 2 x > 2 is a statement with truth-value FALSE.
UNDERSTANDING STATEMENTS:
- 1. x + 2 is positive. Not a statement
Q2. May I come in?
Not a statement
- Logic is interesting. A statement
- It is hot today. A statement
- -1 > 0 A statement
- x + y = 12 Not a statement
Not Propositions
Close the door. x is greater than 2. He is very rich are not propositions.
Example
Bill Gates is an American He is very rich He is very rich is a statement with truth-value TRUE.
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