The number of non-empty equival ence relations on the set {1,2,3} is : (1)6 (2)7 (3)5 (4)4
Detailed Explanation
🔍 What is an Equivalence Relation?
An equivalence relation on a set must satisfy three properties for every :
- Reflexive:
- Symmetric:
- Transitive:
These rules force the relation to behave like a "belongs to the same group" test.
🔗 Link to Partitions
A beautiful theorem says:
• Each partition chops into non-overlapping, non-empty blocks (bags) whose union is .
• Each block is an equivalence class.
Therefore, counting equivalence relations = counting partitions.
🧮 Counting Partitions of
We need all the ways to split into bags:
- Three singletons:
- One pair + one singleton (three possibilities):
, , - One triple:
Total = .
These numbers are the Bell numbers. For the Bell number .
Simple Explanation (ELI5)
🎈 Imagine you have 3 colorful marbles: Red (1), Green (2) and Blue (3)
Your job is to put these marbles into bags so that:
- Every marble must be in some bag (nobody is left on the table).
- If Red and Green are in the same bag, then whenever you look at Green, Red must definitely be there too (so the bag rule works both ways).
- Each marble always stays with itself in its own bag (sounds trivial – a bag always contains itself).
Every unique way of bagging the marbles is called a partition.
Mathematicians say each partition matches an equivalence relation.
So, the question is really asking: How many different ways can you bag the 3 marbles?
When you list them, you get exactly 5 ways.
Step-by-Step Solution
Step-by-Step Solution
-
Recognize the Link
Counting equivalence relations on a finite set is identical to counting partitions of . -
List All Partitions of
[ \begin{aligned} &\text{(i) } {{1},{2},{3}} \ &\text{(ii) } {{1,2},{3}} \ &\text{(iii) } {{1,3},{2}} \ &\text{(iv) } {{2,3},{1}} \ &\text{(v) } {{1,2,3}} \end{aligned} ]
-
Count Them
There are distinct partitions. -
Conclude
Hence, the number of non-empty equivalence relations on is -
Match with Options
Option (3) 5 is correct.
Examples
Example 1
Classifying animals into species groups (mammal, reptile, bird).
Example 2
Grouping passwords by strength categories (weak, medium, strong).
Example 3
Assigning employees to project teams; each unique grouping corresponds to a partition.
Example 4
Seating guests at round tables where only who-sits-with-whom matters.
Visual Representation
References
- [1]"Discrete Mathematics and Its Applications" by Kenneth Rosen
- [2]NPTEL Video Lectures – Discrete Mathematics (Prof. Kamala Krithivasan)
- [3]Art of Problem Solving (AoPS) – Online discussions on Bell numbers and partitions
- [4]OEIS sequence A000110 – Bell numbers