Mathematics: Class 11 — Chapter 6: Permutations and Combinations

1. Introduction & Fundamental Principles of Counting

The study of permutations and combinations is concerned with determining the number of different ways of arranging and selecting objects without actually listing them. This forms the mathematical basis for probability and discrete analysis.

The Fundamental Principle of Counting (Multiplication Principle)

The fundamental principle of counting is stated as follows:

"If an event can occur in $m$ different ways, following which another event can occur in $n$ different ways, then the total number of occurrence of the events in the given order is $m \times n$."

Generalization to $k$ Events: If an event $E_1$ can occur in $n_1$ ways, followed by $E_2$ in $n_2$ ways, followed by $E_3$ in $n_3$ ways, and so on up to $E_k$ in $n_k$ ways, then the total number of ways the sequence of events can occur is:

$$n_1 \times n_2 \times n_3 \times \dots \times n_k$$
Algorithmic Solved Examples

Mathematical Problem Statement: Mohan has $3$ pants and $2$ shirts. How many different pairs of a pant and a shirt can he dress up with?


Step-by-Step Algorithmic Solution Trace:

  1. Identify the first event: Choosing a pant. There are $3$ available options, so $m = 3$.
  2. Identify the second event: Choosing a shirt. There are $2$ available options, so $n = 2$.
  3. Apply the multiplication principle: Total pairs = $m \times n = 3 \times 2$.

Final Evaluation Output: $6$ pairs

Mathematical Problem Statement: Find the number of $4$-letter words, with or without meaning, which can be formed out of the letters of the word ROSE, where the repetition of the letters is not allowed.


Step-by-Step Algorithmic Solution Trace:

  1. There are $4$ vacant places to be filled by the $4$ distinct letters: R, O, S, E.
  2. The first place can be filled in $4$ different ways by any of the $4$ letters.
  3. Since repetition is not allowed, the second place can be filled in $3$ different ways by any of the remaining $3$ letters.
  4. The third place can be filled in $2$ different ways.
  5. The fourth place can be filled in $1$ way.
  6. By the multiplication principle, the total number of ways is $4 \times 3 \times 2 \times 1$.

Final Evaluation Output: $24$ words

Mathematical Problem Statement: How many $2$-digit even numbers can be formed from the digits $1, 2, 3, 4, 5$ if the digits can be repeated?


Step-by-Step Algorithmic Solution Trace:

  1. A $2$-digit number has a unit's place and a ten's place.
  2. For the number to be even, the unit's place must be filled with an even digit. From the set $\{1, 2, 3, 4, 5\}$, the even digits are $2$ and $4$. Thus, the unit's place can be filled in $2$ ways.
  3. Since repetition of digits is allowed, the ten's place can be filled by any of the $5$ given digits in $5$ ways.
  4. By the multiplication principle, the total number of even numbers is $5 \times 2$.

Final Evaluation Output: $10$ even numbers

2. Permutations

A permutation is an arrangement in a definite order of a number of objects taken some or all at a time. In permutations, the order of arrangement is critical.

Factorial Notation

The notation $n!$ (read as n factorial) represents the product of the first $n$ natural numbers:

$$n! = 1 \times 2 \times 3 \times \dots \times (n-1) \times n$$

Core Properties of Factorials:

  • $0! = 1$ (by definition)
  • $1! = 1$
  • $n! = n \times (n-1)!$
  • $n! = n \times (n-1) \times (n-2)!$ for $n \ge 2$
Permutations of Distinct Objects ($^nP_r$)

Theorem 1: The number of permutations of $n$ different objects taken $r$ at a time, where $0 < r \le n$ and the objects do not repeat, is denoted by $^nP_r$ and is given by:

$$^nP_r = n(n-1)(n-2)\dots(n-r+1)$$

Multiplying the numerator and denominator by $(n-r)!$, we obtain the standard factorial formula:

$$^nP_r = \frac{n!}{(n-r)!}, \quad 0 \le r \le n$$

Theorem 2: The number of permutations of $n$ different objects taken $r$ at a time, where repetition is allowed, is:

$$n^r$$
Permutations of Objects Not All Distinct

Theorem 3: The number of permutations of $n$ objects, where $p$ objects are of the same kind and the rest are all different, is:

$$\frac{n!}{p!}$$

Theorem 4: The number of permutations of $n$ objects, where $p_1$ objects are of one kind, $p_2$ are of a second kind, ..., $p_k$ are of a $k$-th kind, and the rest (if any) are of different kinds, is:

$$\frac{n!}{p_1! p_2! \dots p_k!}$$
Algorithmic Solved Examples

Mathematical Problem Statement: Find the number of permutations of the letters of the word ALLAHABAD.


Step-by-Step Algorithmic Solution Trace:

  1. Count the total number of letters in ALLAHABAD: $n = 9$.
  2. Identify the repeating letters and their frequencies:
    • Letter 'A' appears $4$ times ($p_1 = 4$).
    • Letter 'L' appears $2$ times ($p_2 = 2$).
    • The remaining letters (H, B, D) are distinct and appear $1$ time each.
  3. Apply Theorem 4: Total arrangements = $\frac{9!}{4! \times 2!}$.
  4. Calculate the value:$$\frac{9 \times 8 \times 7 \times 6 \times 5 \times 4!}{4! \times 2} = \frac{15120}{2} = 7560$$

Final Evaluation Output: $7560$ arrangements

Mathematical Problem Statement: How many numbers lying between $100$ and $1000$ can be formed with the digits $0, 1, 2, 3, 4, 5$, if the repetition of the digits is not allowed?


Step-by-Step Algorithmic Solution Trace:

  1. Every number between $100$ and $1000$ is a $3$-digit number.
  2. The total number of permutations of $6$ distinct digits taken $3$ at a time is:$$^6P_3 = \frac{6!}{(6-3)!} = 6 \times 5 \times 4 = 120$$
  3. However, this includes numbers where $0$ is at the $100$'s place (which makes them $2$-digit numbers).
  4. To find the number of such invalid configurations, fix $0$ at the $100$'s place. The remaining $2$ places must be filled using the remaining $5$ digits:$$^5P_2 = \frac{5!}{(5-2)!} = 5 \times 4 = 20$$
  5. Subtract the invalid configurations from the total permutations:$$\text{Required Numbers} = ^6P_3 - ^5P_2 = 120 - 20 = 100$$

Final Evaluation Output: $100$ numbers

3. Combinations

A combination is a selection of some or all of a number of different objects where the order of selection does not matter.

Mathematical Definition & Relation to Permutations

The number of combinations of $n$ different objects taken $r$ at a time is denoted by $^nC_r$ and is given by:

$$^nC_r = \frac{n!}{r!(n-r)!}, \quad 0 \le r \le n$$

Theorem 5 (Relation between $^nP_r$ and $^nC_r$):

$$^nP_r = ^nC_r \times r!, \quad 0 < r \le n$$
Core Properties & Theorems of Combinations
  • Symmetric Property: Selecting $r$ objects is equivalent to rejecting $(n-r)$ objects:$$^nC_r = ^nC_{n-r}$$
  • Equality Condition: If $^nC_a = ^nC_b$, then either:$$a = b \quad \text{or} \quad n = a + b$$
  • Theorem 6 (Pascal's Identity):$$^nC_r + ^nC_{r-1} = ^{n+1}C_r$$
  • Boundary Values:$$^nC_0 = 1, \quad ^nC_n = 1$$
Algorithmic Solved Examples

Mathematical Problem Statement: If $^nC_9 = ^nC_8$, find $^nC_{17}$.


Step-by-Step Algorithmic Solution Trace:

  1. Use the equality condition $^nC_a = ^nC_b \implies n = a + b$ (since $9 \neq 8$).
  2. Calculate $n$:$$n = 9 + 8 = 17$$
  3. Substitute $n = 17$ into the target expression $^nC_{17}$:$$^{17}C_{17} = 1$$

Final Evaluation Output: $1

Mathematical Problem Statement: A committee of $3$ persons is to be constituted from a group of $2$ men and $3$ women. In how many ways can this be done? How many of these committees would consist of $1$ man and $2$ women?


Step-by-Step Algorithmic Solution Trace:

  1. Part 1: Total ways to form the committee
    • Total number of people = $2 \text{ men} + 3 \text{ women} = 5$ people.
    • We need to select $3$ people out of $5$. Since order does not matter, use combinations:$$^5C_3 = \frac{5!}{3!2!} = \frac{5 \times 4}{2} = 10$$
  2. Part 2: Committee with $1$ man and $2$ women
    • Select $1$ man from $2$ available men: $^2C_1 = 2$ ways.
    • Select $2$ women from $3$ available women: $^3C_2 = ^3C_1 = 3$ ways.
    • By the multiplication principle, the total number of such committees is:$$^2C_1 \times ^3C_2 = 2 \times 3 = 6$$

Final Evaluation Output: Total committees = $10$; Committees with $1$ man and $2$ women = $6$

4. Advanced Applications & Seating Methods

This section covers complex counting problems involving dictionary ordering, restricted permutations, and the gap method for seating arrangements.

Dictionary Order (Rank of a Word)

Mathematical Problem Statement: Find the $50$-th word if all permutations of the letters of the word AGAIN are arranged as in a dictionary.


Step-by-Step Algorithmic Solution Trace:

  1. The letters of AGAIN in alphabetical order are: A, A, G, I, N.
  2. Words starting with A: Fix A at the first position. Arrange the remaining letters (A, G, I, N):$$\text{Number of words} = 4! = 24$$
  3. Words starting with G: Fix G at the first position. Arrange the remaining letters (A, A, I, N):$$\text{Number of words} = \frac{4!}{2!} = 12$$Cumulative total = $24 + 12 = 36$.
  4. Words starting with I: Fix I at the first position. Arrange the remaining letters (A, A, G, N):$$\text{Number of words} = \frac{4!}{2!} = 12$$Cumulative total = $36 + 12 = 48$.
  5. Words starting with N: The next words will start with N.
    • The $49$-th word (first word starting with N alphabetically): NAAGI
    • The $50$-th word (next alphabetical word): NAAIG

Final Evaluation Output: NAAIG

The Gap Method (Restricted Seating)

Mathematical Problem Statement: In how many ways can $5$ girls and $3$ boys be seated in a row so that no two boys are together?


Step-by-Step Algorithmic Solution Trace:

  1. First, seat the $5$ girls in a row. This can be done in:$$5! = 120 \text{ ways}$$
  2. This arrangement creates $6$ potential gaps (including the ends) where boys can be seated:$$\times \text{ G } \times \text{ G } \times \text{ G } \times \text{ G } \times \text{ G } \times$$
  3. Select $3$ gaps out of the $6$ available gaps and arrange the $3$ boys in them:$$^6P_3 = \frac{6!}{(6-3)!} = 6 \times 5 \times 4 = 120 \text{ ways}$$
  4. By the multiplication principle, the total number of seating arrangements is:$$\text{Total Ways} = 5! \times ^6P_3 = 120 \times 120 = 14400$$

Final Evaluation Output: $14400$ ways

5. Historical Chronicle & Reference Matrix

Historical Chronicle: Evolution of Combinatorial Mathematics

  • Ancient Indian Contributions:
    • The concepts of permutations and combinations can be traced back to Jainism in India under the term Vikalpa.
    • Sushruta (6th Century B.C.): In his medical treatise Sushruta Samhita, he calculated that $63$ combinations can be made out of $6$ different tastes taken one at a time, two at a time, etc. ($2^6 - 1 = 63$).
    • Mahavira (c. 850 A.D.): Credited with providing the first general algebraic formulae for permutations and combinations.
    • Bhaskaracharya (b. 1114 A.D.): Treated the subject under the name Anka Pasha in his famous work Lilavati.
  • Western Formalization:
    • Levi Ben Gerson (1321 A.D.): Formulated explicit proofs for $^nP_r$, $^nP_n$, and $^nC_r$.
    • Jacob Bernoulli (1654–1705): His posthumous work Ars Conjectandi (1713) provided the first complete, systematic treatment of the subject as known today.
Core Formula Reference Matrix
Concept / Operation Mathematical Formula Key Constraints / Conditions Systemic Role & Application
Permutations (Distinct, No Repetition) $$^nP_r = \frac{n!}{(n-r)!}$$ $0 \le r \le n$ Arranging distinct objects where order is critical.
Permutations (Distinct, Repetition Allowed) $$n^r$$ $n \ge 1, r \ge 0$ Arranging objects when elements can be reused.
Permutations (Non-Distinct Objects) $$\frac{n!}{p_1! p_2! \dots p_k!}$$ $p_1 + p_2 + \dots + p_k \le n$ Arranging words or sequences with repeating elements.
Combinations (No Repetition) $$^nC_r = \frac{n!}{r!(n-r)!}$$ $0 \le r \le n$ Selecting groups or subsets where order is irrelevant.
Pascal's Identity $$^nC_r + ^nC_{r-1} = ^{n+1}C_r$$ $1 \le r \le n$ Simplifying sum of combinations; binomial expansions.