📐 Mathematics — Class XI · Counting

Permutations and Combinations

Counting without listing — the art of arranging and selecting objects systematically

📖 Chapter 6 ⏱ ~55 min read 🏷 Combinatorics

In this chapter

  1. Fundamental Principle of Counting
  2. Factorial Notation
  3. Permutations
  4. Permutations with Repetition
  5. Combinations
  6. Summary

6.1 Fundamental Principle of Counting

"Every body of discovery is mathematical in form because there is no other guidance we can have." — Darwin

Imagine you have a suitcase with a 4-digit number lock. You remember the first digit is 7. How many combinations might you need to try? Instead of listing them all, we can use counting principles to find the answer quickly.

The Multiplication Principle

💡 The Core Idea

If one event can happen in m ways, AND another event can happen in n ways, THEN both events together can happen in m × n ways.

Example: Mohan has 3 pants and 2 shirts. Total outfits = 3 × 2 = 6

📐 Extended Version

For 3 events in sequence:
Total = m × n × p

Example: Sabnam has 2 bags, 3 tiffin boxes, 2 bottles.
Total ways to carry them = 2 × 3 × 2 = 12

Example: 4-Letter Words from ROSE

📐 How many words from R, O, S, E?

Fill 4 positions:
• 1st position: 4 choices (R, O, S, or E)
• 2nd position: 3 choices remaining
• 3rd position: 2 choices remaining
• 4th position: 1 choice remaining

Total = 4 × 3 × 2 × 1 = 24 words

⚠️ With Repetition Allowed

If letters can repeat:
Each position has 4 choices, so total = 4 × 4 × 4 × 4 = 256 words

6.2 Factorial Notation

When we multiply consecutive numbers, we use factorial notation to make things shorter.

Factorial n! = 1 × 2 × 3 × ... × n
🔢

Examples

• 5! = 1 × 2 × 3 × 4 × 5 = 120
• 7! = 5040
• 0! = 1 (by definition)

📐

Properties

• n! = n × (n-1)!
• n! = n × (n-1) × (n-2)!
• 5! = 5 × 4! = 5 × 4 × 3!

💡 Why 0! = 1?

Think of it this way: arranging 0 objects can be done in exactly 1 way — do nothing! Also, it makes formulas work: n! = n × (n-1)!, so 1! = 1 × 0!, which gives 0! = 1.

Factorial visualization
Figure 6.3 — Factorial: multiply all positive integers from 1 to n

6.3 Permutations

A permutation is an arrangement where order matters. ABC is different from BAC.

Formula for Permutations

nPr nPr = n! / (n-r)!

This gives the number of ways to arrange r objects from n distinct objects.

📐 Example: Chairman and Vice-Chairman

Choose 2 people from 12 for Chairman and Vice-Chairman:
12P2 = 12! / (12-2)! = 12! / 10! = 12 × 11 = 132 ways

Order matters: (A=Chairman, B=Vice) is different from (B=Chairman, A=Vice)

Permutations with Repetition (Identical Objects)

📐 When Objects Repeat

If n objects include p identical objects of one kind:
Permutations = n! / p!

Example: Word ROOT has 4 letters with 2 O's.
Permutations = 4! / 2! = 24 / 2 = 12

📐 Multiple Identical Objects

If there are p₁ of kind 1, p₂ of kind 2, etc.:
Permutations = n! / (p₁! × p₂! × ... × pₖ!)

Example: Word INSTITUTE has 9 letters (I×2, T×3)
Permutations = 9! / (2! × 3!) = 362880 / 12 = 30240

Example: Vowels Together in DAUGHTER

📐 Constraint: Vowels Must Stay Together

Treat vowels (A, U, E) as one block:
• 5 consonants + 1 vowel block = 6 objects
• Arrange 6 objects: 6! ways
• Arrange vowels within block: 3! ways
• Total = 6! × 3! = 720 × 6 = 4320

Visual representation of permutations
Figure 6.1 — Permutations: Order matters (ABC ≠ BAC)

6.4 Combinations

A combination is a selection where order doesn't matter. ABC is the same as BAC.

Formula for Combinations

nCr nCr = n! / (r! × (n-r)!)
💡 Permutation vs Combination

Permutation: Order MATTERS (arranging people in a line)
Combination: Order DOESN'T matter (selecting a committee)

Key relationship: nPr = nCr × r!
Each combination has r! permutations.

Example: Selecting a Committee

📐 Committee of 3 from 5 People

5C3 = 5! / (3! × 2!) = 120 / (6 × 2) = 10 ways

Note: Selecting {A,B,C} is same as {C,B,A} — order doesn't matter!

Properties of Combinations

⚖️

Symmetry

nCr = nC(n-r)
Selecting r is same as rejecting (n-r)

📐

Pascal's Identity

n+1Cr = nCr + nC(r-1)
Foundation of Pascal's triangle

📐 Example: Card Problem

Choose 4 cards from 52:
52C4 = 52! / (4! × 48!) = 270,725 ways

All same suit: 4 × 13C4 = 4 × 715 = 2,860 ways

Visual representation of combinations
Figure 6.2 — Combinations: Order doesn't matter (ABC = BAC)

6.5 Summary

✅ Key Takeaways

Multiplication principle: m ways × n ways = m × n total ways

Factorial: n! = 1 × 2 × ... × n, and 0! = 1

Permutations (order matters): nPr = n! / (n-r)!

With repetition allowed: n^r

Identical objects: n! / (p₁! × p₂! × ... × pₖ!)

Combinations (order doesn't matter): nCr = n! / (r! × (n-r)!)

Key relationship: nPr = nCr × r!

Ch 5 — Linear Inequalities Ch 7 — Binomial Theorem