Mathematics IUnit 111 min read
Sets, Relations, Functions: Definitions, Operations, and Graphs
Unit 1 of Mathematics I covers the foundational concepts of sets (operations, types, and Venn diagrams), relations (ordered pairs, properties, and matrices), and functions (types, domain/range, and graphs), with real-world applications in algorithms, databases, and optimization problems.
TAKEAWAYS
- Sets are collections of distinct objects, and operations like union, intersection, and complement are visualized using Venn diagrams.
- Relations are mappings between two sets, classified as reflexive, symmetric, transitive, or equivalence relations.
- Functions are special relations where each input has exactly one output, with domain and range defining their scope.
- Cartesian products and ordered pairs form the basis for relations and functions, often represented as matrices or graphs.
- Real-world applications include database queries (sets), pathfinding algorithms (relations), and financial modeling (functions).
- Exam focus: Prove properties, solve domain/range problems, and match relations/functions to their graphical representations.
1. Sets: Definitions, Types, and Operations
1.1 What is a Set?
A set is a well-defined collection of distinct objects, called elements. Sets are denoted by capital letters (e.g., ), and elements by lowercase letters (e.g., ).
Example:
- (finite set)
- (descriptive notation)
- = set of all real numbers (infinite set)
1.2 Types of Sets
| Type | Definition | Example |
|---|---|---|
| Finite Set | Has a limited number of elements. | |
| Infinite Set | Has unlimited elements. | |
| Singleton Set | Contains exactly one element. | |
| Empty Set (∅) | Contains no elements. | |
| Universal Set (U) | Contains all objects under consideration. | |
| Subset (⊆) | All elements of are in . | |
| Proper Subset (⊂) | but . | |
| Power Set (P(A)) | Set of all subsets of . |
1.3 Set Operations
| Operation | Symbol | Definition | Venn Diagram |
|---|---|---|---|
| Union (A ∪ B) | All elements in or . | ||
| Intersection (A ∩ B) | Elements common to both and . | ||
| Complement (A') | Elements in not in . | ||
| Difference (A \ B) | Elements in but not in . | ||
| Symmetric Difference (A Δ B) | Elements in either or but not both. |
Worked Example 1: Given:
Find:
Solution:
2. Relations: Ordered Pairs and Properties
2.1 Cartesian Product (A × B)
The Cartesian product of sets and is the set of all ordered pairs where and .
Example: If and , then:
2.2 Relations as Sets of Ordered Pairs
A relation from set to set is a subset of .
Example: Let and . Define .
2.3 Properties of Relations
| Property | Definition | Example |
|---|---|---|
| Reflexive | for all . | on |
| Symmetric | If , then . | |
| Transitive | If and , then . | |
| Equivalence | Reflexive, symmetric, and transitive. |
Worked Example 2: Let and . Check if is:
- Reflexive
- Symmetric
- Transitive
Solution:
- Reflexive: Yes, because .
- Symmetric: Yes, because implies , and vice versa.
- Transitive: Yes, because there are no cases where and are in but is not.
graph LR
A["(1,1)"] --> B["(1,2)"]
B --> C["(2,1)"]
C --> D["(2,2)"]
D --> E["(3,3)"]
title: "Relation R as a Directed Graph"3. Functions: Definitions and Types
3.1 Definition of a Function
A function from set (domain) to set (codomain) assigns exactly one element in to each element in . Notation: .
Example: is a function from to .
3.2 Types of Functions
| Type | Definition | Example |
|---|---|---|
| Injective (One-to-One) | Different inputs map to different outputs. | |
| Surjective (Onto) | Every element in is mapped by some . | where |
| Bijective | Both injective and surjective. | where |
| Constant | All inputs map to the same output. | |
| Identity | for all . |
3.3 Domain and Range
- Domain: All possible input values (-values).
- Range: All possible output values (-values).
Worked Example 3: Find the domain and range of .
Solution:
Domain: The expression under the square root must be non-negative: Solve : Roots: and . The parabola opens upwards, so the inequality holds between the roots:
Range: The maximum value of occurs at the vertex of the parabola . Vertex -coordinate: . So, the maximum value of the square root is . At and , .
## In the Real World
eSewa and Khalti (Digital Payments):
- Sets: Transactions are processed as sets of unique IDs (e.g., user IDs, merchant IDs).
- Relations: The "pays-to" relation maps users to merchants (e.g., ).
- Functions: The payment amount is a function of the user’s input (e.g., ).
Pathao (Ride-Hailing):
- Sets: Drivers and passengers are two distinct sets.
- Relations: A matching algorithm creates a relation where pairs are formed based on location and time.
- Functions: The fare is a function of distance and time (e.g., ).
NTC (Network Traffic Routing):
- Relations: Network nodes are connected via directed edges representing data flow (e.g., ).
- Functions: The delay in data transmission is a function of the path taken (e.g., ).
Bank Loan Interest (Geometric Progression):
- Example: A loan of Rs. 10,000 at 10% annual interest compounded yearly.
- After 1 year:
- After 2 years:
- This forms a geometric sequence where each term is multiplied by 1.10.
- Example: A loan of Rs. 10,000 at 10% annual interest compounded yearly.
## Exam Tip
For Sets:
- Always draw Venn diagrams for union, intersection, and complement questions.
- Remember: .
For Relations:
- Check properties (reflexive, symmetric, transitive) systematically.
- Use matrices to represent relations if asked to prove equivalence.
For Functions:
- Domain: Solve inequalities for square roots, denominators, and logarithms.
- Range: Find the maximum/minimum values of the function (e.g., vertex of a parabola).
- Bijective Proofs: Show both injective (unique outputs) and surjective (covers codomain).
Common Mistakes:
- Forgetting to check the domain for square roots or denominators.
- Misapplying set operations (e.g., confusing with ).
- Not verifying all conditions for relation properties.
Visual Summary:
Based on the TU BCA syllabus for Mathematics I (CAMT104), unit 1.
Discussion
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