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Permutations and Combinations Notes with Examples

Permutations And Combinations JEE MAINS, NIMCET, CUET, GATE, IIT

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Learn PNC Concepts Including Permutations, Combinations, Factorials, Circular Arrangements, Grouping And Distribution Of Objects With Easy Tricks And Examples For NIMCET, CUET, JEE And Competitive Exams.

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Permutations and Combinations – Detailed Notes with Examples

1. Basic Concepts

1.1 Factorial $n!$

For a positive integer $n$, factorial of $n$ is defined as: $$ n! = n \times (n-1) \times (n-2) \times \dots \times 2 \times 1 $$ and by definition $0! = 1$.

Examples:

  • $1! = 1$
  • $2! = 2 \times 1 = 2$
  • $3! = 3 \times 2 \times 1 = 6$
  • $5! = 5 \times 4 \times 3 \times 2 \times 1 = 120$

1.2 Rule of Counting

If a task can be done in $m$ ways and another independent task can be done in $n$ ways, then both tasks together can be done in $m \times n$ ways (Multiplication Rule).

If a task can be done in $m$ ways or $n$ ways (mutually exclusive), then total ways = $m + n$ (Addition Rule).


2. Permutations (Order Matters)

2.1 Definition

A permutation is an arrangement of objects in a specific order. If order changes, permutation changes.

2.2 Permutation Formula: $_nP_r$

Number of permutations of $n$ distinct objects taken $r$ at a time: $$ {}^nP_r = \frac{n!}{(n-r)!} \quad \text{for } 0 \le r \le n $$

Example 1: How many 2-digit numbers can be formed from the digits $1,2,3$ if repetition is not allowed?

Here $n = 3$ (digits $1,2,3$), $r = 2$ (2-digit numbers).
Number of ways $= {}^3P_2 = \dfrac{3!}{(3-2)!} = \dfrac{3!}{1!} = 6$.

Example 2: Number of ways to arrange letters of the word CAT.

There are $3$ distinct letters.
Arrangements $= 3! = 6$.

2.3 Permutations with Repetition Allowed

If $n$ distinct objects are available and we have to form arrangements of length $r$ where repetition is allowed, then: $$ \text{Number of permutations} = n^r $$

Example 3: How many 3-digit numbers can be formed using digits $1,2,3$ if repetition is allowed?

Each place (hundreds, tens, units) has 3 choices.
Total numbers $= 3^3 = 27$.

2.4 Permutations with Repeated (Identical) Objects

If there are $n$ objects in total, out of which:

  • $n_1$ are identical of one type,
  • $n_2$ are identical of second type,
  • … and so on up to $n_k$ identical of $k$-th type,

then number of distinct permutations is: $$ \frac{n!}{n_1! \, n_2! \dots n_k!} $$

Example 4: Number of distinct permutations of the word BALL.

Letters: B, A, L, L → total $n = 4$ letters, L is repeated $2$ times.
Number of arrangements $= \dfrac{4!}{2!} = \dfrac{24}{2} = 12$.

2.5 Circular Permutations

When objects are arranged in a circle, rotations of the same arrangement are considered identical.

  • Number of circular permutations of $n$ distinct objects: $(n-1)!$
  • If clockwise and anti-clockwise arrangements are considered same, then number of ways = $\dfrac{(n-1)!}{2}$

Example 5: In how many ways can 5 friends sit around a round table?

Number of circular permutations $= (5 - 1)! = 4! = 24$.


3. Combinations (Order Does Not Matter)

3.1 Definition

A combination is a selection of objects where order does NOT matter. e.g., selecting students for a team.

3.2 Combination Formula: $_nC_r$

Number of combinations of $n$ distinct objects taken $r$ at a time: $$ {}^nC_r = \frac{n!}{r!(n-r)!} \quad \text{for } 0 \le r \le n $$

Example 6: Out of 5 students A, B, C, D, E, how many ways can we select 2 students?

Here $n = 5$, $r = 2$.
Number of selections $= {}^5C_2 = \dfrac{5!}{2! \cdot 3!} = \dfrac{120}{2 \cdot 6} = 10$.

3.3 Relation between Permutation and Combination

For all $n$ and $r$ (with $0 \le r \le n$), $$ {}^nP_r = {}^nC_r \times r! $$

Also, some important identities:

  • ${}^nC_r = {}^nC_{n-r}$
  • ${}^nC_0 = {}^nC_n = 1$
  • ${}^nC_1 = n$

Example 7: For $n = 5$, $r = 3$ verify ${}^5P_3 = {}^5C_3 \times 3!$.

${}^5P_3 = \dfrac{5!}{(5-3)!} = \dfrac{5!}{2!} = \dfrac{120}{2} = 60$
${}^5C_3 = \dfrac{5!}{3! \cdot 2!} = \dfrac{120}{6 \cdot 2} = 10$
RHS $= {}^5C_3 \times 3! = 10 \times 6 = 60$ (LHS = RHS).

3.4 Combinations in Terms of Pascal’s Triangle

Binomial coefficients ${}^nC_r$ follow: $$ {}^nC_r = {}^{n-1}C_{r-1} + {}^{n-1}C_r $$ which is the basis of Pascal’s Triangle.


4. Typical Types of Questions

4.1 Selection and Arrangement

Many questions have two parts:

  1. Selecting some objects (use combination ${}^nC_r$).
  2. Arranging the selected objects (use permutation $r!$ or ${}^rP_r$).

Example 8: From 6 students, in how many ways can we select 3 and arrange them in a row?

Step 1: Select 3 students from 6 → ${}^6C_3 = \dfrac{6!}{3! \cdot 3!} = 20$
Step 2: Arrange these 3 students in a row → $3! = 6$ ways.
Total ways $= {}^6C_3 \times 3! = 20 \times 6 = 120$.

4.2 Word Problems – Arrangements of Letters

Example 9: In how many ways can the letters of the word BANANA be rearranged?

Letters in BANANA: B, A, N, A, N, A
Total letters $n = 6$
A is repeated 3 times, N is repeated 2 times, B occurs once.
Number of distinct arrangements: $$ \frac{6!}{3! \, 2!} = \frac{720}{6 \times 2} = \frac{720}{12} = 60 $$

4.3 Restrictions in Arrangements

Sometimes arrangements are asked with conditions like:

  • Vowels always together
  • Two particular persons always together / never together
  • A particular digit is at a fixed place, etc.

Example 10: In how many ways can the letters of the word HOME be arranged if the vowels are always together?

Vowels: O, E (treat them as one block [OE]).
Now we have: H, M, [OE] → 3 objects to arrange → $3! = 6$ ways.
Inside the block [OE], vowels O and E can be arranged in $2! = 2$ ways.
Total ways $= 3! \times 2! = 6 \times 2 = 12$.


5. Permutations & Combinations in Probability (Basic Idea)

In many probability questions, we first count total number of possible outcomes and then number of favourable outcomes using permutations and combinations.

Example 11: From a deck of 52 cards, how many ways can 5 cards be chosen?

Total ways to choose 5 cards from 52: $$ {}^{52}C_5 = \frac{52!}{5! \cdot 47!} $$ (This value is large, so usually we keep it in ${}^nC_r$ form).


6. Quick Summary Table

Concept Formula When to Use
Permutation of $n$ distinct objects taken $r$ at a time ${}^nP_r = \dfrac{n!}{(n-r)!}$ Order matters, repetition not allowed
Permutation with repetition allowed $n^r$ Order matters, repetition allowed
Permutation of $n$ objects with repetitions $\dfrac{n!}{n_1! n_2! \dots n_k!}$ Some objects are identical
Circular permutations (distinct objects) $(n-1)!$ Arrangements in a circle
Combination of $n$ objects taken $r$ at a time ${}^nC_r = \dfrac{n!}{r!(n-r)!}$ Selection only, order does not matter
Relation between permutation & combination ${}^nP_r = {}^nC_r \times r!$ Convert selection to arrangement

These notes cover the main formulas, concepts, and basic examples of Permutations and Combinations. You can directly use this content for your study material or online notes page.

Exponent of a Prime Number in $n!$

To find how many times a prime number p divides $n!$, we use the Legendre’s Formula (also called De Polignac’s formula):

Formula

The exponent of prime $p$ in $n!$ is: $$ \text{Exponent of } p = \left\lfloor \frac{n}{p} \right\rfloor + \left\lfloor \frac{n}{p^2} \right\rfloor + \left\lfloor \frac{n}{p^3} \right\rfloor + \left\lfloor \frac{n}{p^4} \right\rfloor + \cdots $$ Continue until $p^k > n$.


Why the Formula Works?

  • $\left\lfloor \frac{n}{p} \right\rfloor$ counts how many multiples of $p$ are in $n!$
  • $\left\lfloor \frac{n}{p^2} \right\rfloor$ counts how many multiples of $p^2$ are in $n!$
  • $\left\lfloor \frac{n}{p^3} \right\rfloor$ counts how many multiples of $p^3$ and so on

Example 1: Exponent of 2 in $10!$

$$ \left\lfloor \frac{10}{2} \right\rfloor = 5 \\ \left\lfloor \frac{10}{4} \right\rfloor = 2 \\ \left\lfloor \frac{10}{8} \right\rfloor = 1 \\ \left\lfloor \frac{10}{16} \right\rfloor = 0 $$

Total exponent = $5 + 2 + 1 = 8$

So, exponent of 2 in $10!$ = 8.


Example 2: Exponent of 5 in $100!$

$$ \left\lfloor \frac{100}{5} \right\rfloor = 20 \\ \left\lfloor \frac{100}{25} \right\rfloor = 4 \\ \left\lfloor \frac{100}{125} \right\rfloor = 0 $$

Total exponent = $20 + 4 = 24$

So exponent of 5 in $100!$ = 24.


Example 3: Exponent of 3 in $50!$

$$ \left\lfloor \frac{50}{3} \right\rfloor = 16 \\ \left\lfloor \frac{50}{9} \right\rfloor = 5 \\ \left\lfloor \frac{50}{27} \right\rfloor = 1 \\ \left\lfloor \frac{50}{81} \right\rfloor = 0 $$

Exponent = $16 + 5 + 1 = 22$


Special Case: Trailing Zeros in $n!$

Trailing zeros depend on the exponent of 10, and $10 = 2 \times 5$. Since 2 appears more often, zeros depend on exponent of 5.

So number of trailing zeros in $n!$ is: $$ \left\lfloor \frac{n}{5} \right\rfloor + \left\lfloor \frac{n}{25} \right\rfloor + \left\lfloor \frac{n}{125} \right\rfloor + \dots $$


Summary Table

Prime Exponent Formula in $n!$ Use
$p$ $\sum \left\lfloor \frac{n}{p^k} \right\rfloor$ Prime’s power in $n!$
$5$ $\left\lfloor \frac{n}{5} \right\rfloor + \left\lfloor \frac{n}{25} \right\rfloor + \dots$ Trailing zeros

This formula is very important for competitive exams like NIMCET, CUET, SSC, Bank PO, etc.

Grouping (Formation of Groups) – Detailed Notes with Examples

Grouping means dividing a set of items into smaller groups of required size. In P&C, grouping problems usually involve:

  • Creating groups (teams, committees, batches)
  • Grouping objects of different types
  • Grouping followed by arrangement

1. Basic Grouping Concept

If there are n distinct items and we want to make a group of size r, the number of ways is simply a combination: $$ {}^nC_r = \frac{n!}{r!(n-r)!} $$

Example 1:

In how many ways can we form a committee of 3 from 8 people?

$$ {}^8C_3 = 56 $$


2. Forming Multiple Groups

Case 1: All groups are of different sizes

If group sizes are different, then order does NOT matter inside the group but the groups themselves are distinct.

Formula:

For dividing $n$ people into groups of sizes $a, b, c$: $$ \frac{n!}{a!\, b!\, c!} $$

Example 2:

Divide 8 students into groups of 3, 3, and 2.

$$ \frac{8!}{3! \, 3! \, 2!} $$


3. Forming Equal Groups (Groups are Identical)

If all groups have the same size and the groups are considered identical, we must also divide by the number of groups factorial.

Formula:

If $n$ people are to be divided into $k$ identical groups each of size $r$: $$ \frac{n!}{(r!)^k \, k!} $$

Example 3:

12 players are to be divided into 3 identical teams of 4 players each.

$$ \frac{12!}{(4!)^3 \cdot 3!} $$


4. Grouping Followed by Arrangement

If after grouping we also need to arrange the groups (committee positions etc.), then multiply by number of arrangements.

Example 4:

From 10 people, select 3 for President, 3 for Secretary, 4 for Volunteers.

Step 1: Form groups → $$ \frac{10!}{3!\,3!\,4!} $$

Step 2: Assign positions → the 3 groups are distinct → multiply by 3! $$ \text{Total} = \frac{10!}{3!\,3!\,4!} \times 3! $$


5. Grouping with Restrictions

Restrictions may include:

  • Certain people must be together
  • Certain people must NOT be together
  • At least one from a category
  • Divide boys/girls in each group

Example 5 (People must be together):

From 7 people, make a group of 3 in which A and B must be together.

A and B treated as one block → choose 1 more from remaining 5. $$ {}^5C_1 = 5 $$


6. Grouping by "Stars and Bars" (Advanced)

If we want to divide an integer $N$ into $k$ groups (non-negative): $$ {}^{N+k-1}C_{k-1} $$

Example 6:

Number of ways to divide 10 identical chocolates among 4 kids:

$$ {}^{10+4-1}C_{4-1} = {}^{13}C_3 $$


7. Summary Table

Situation Formula
Single group of size r from n ${}^nC_r$
Groups of different sizes (a, b, c) $\frac{n!}{a!b!c!}$
k identical groups of equal size r $\frac{n!}{(r!)^k k!}$
Grouping + arrangement of groups $\frac{n!}{a!b!c!} \times (\text{arrangements})$
Stars and Bars (identical items) ${}^{N+k-1}C_{k-1}$

Grouping is one of the most important topics in Permutations & Combinations and appears frequently in NIMCET & CUET exams.

Number of Non-Negative & Positive Integral Solutions

Problems of finding the number of solutions to equations of the form $x_1 + x_2 + x_3 + \dots + x_k = N$ are solved using the Stars and Bars method.


1. Non-Negative Integral Solutions

If variables are allowed to be zero or positive ($x_i \ge 0$), then the number of solutions of:

$$ x_1 + x_2 + x_3 + \dots + x_k = N $$

Formula:

$$ \text{Number of solutions} = {}^{N+k-1}C_{k-1} $$

Reason: We place $(k - 1)$ bars among $(N)$ stars.

Example 1:

Number of non-negative solutions of $x + y + z = 7$?

Here $N = 7$, $k = 3$ $$ {}^{7+3-1}C_{3-1} = {}^{9}C_2 = 36 $$


2. Positive Integral Solutions

If variables must be strictly positive ($x_i \ge 1$), we convert to non-negative form:

Let $$ x_i = y_i + 1 $$ where $y_i \ge 0$.

Then: $$ (y_1+1) + (y_2+1) + \dots + (y_k+1) = N $$ $$ y_1 + y_2 + \dots + y_k = N - k $$

Formula:

$$ \text{Number of solutions} = {}^{N-1}C_{k-1} $$ (Valid only if $N \ge k$)

Example 2:

Number of positive solutions of $x + y + z = 10$?

$N = 10$, $k = 3$ $$ \text{Solutions} = {}^{10-1}C_{3-1} = {}^{9}C_2 = 36 $$


3. Mixed Conditions

Some variables non-negative, some positive.

Example 3: Solve: $x + y + z = 12$ where $x \ge 0$, $y \ge 1$, $z \ge 3$.

Convert to non-negative: $$ y = y' + 1,\quad z = z' + 3 $$ $$ x + (y' + 1) + (z' + 3) = 12 $$ $$ x + y' + z' = 8 $$

Now use non-negative formula: $$ {}^{8+3-1}C_{3-1} = {}^{10}C_2 = 45 $$


4. Bounded Conditions

Condition like $0 \le x \le 5$ requires casework or substitution.

Example 4:

Number of non-negative solutions of $x + y + z = 8$ with $x \le 3$.

Method: Break into cases.

  • If $x = 0$: $y + z = 8$ → ${}^9C_1 = 9$
  • If $x = 1$: $y + z = 7$ → ${}^8C_1 = 8$
  • If $x = 2$: $y + z = 6$ → ${}^7C_1 = 7$
  • If $x = 3$: $y + z = 5$ → ${}^6C_1 = 6$

Total = $9 + 8 + 7 + 6 = 30$


5. Summary Table

Type of Solution Equation Formula
Non-negative $x_1 + x_2 + ... + x_k = N$ ${}^{N+k-1}C_{k-1}$
Positive $x_1 + x_2 + ... + x_k = N$ ${}^{N-1}C_{k-1}$
Mixed (some positive) Convert to non-negative Apply ${}^{N'+k-1}C_{k-1}$
Bounded $0 \le x \le A$ Casework / substitution

These formulas are extremely important for P&C, Algebra, Number Theory questions in NIMCET & CUET.

Distribution of Balls in Boxes – 4 Standard Cases (with Worked Examples)

We study 4 classic cases:

  1. Different balls, different boxes (DB–DB)
  2. Identical balls, different boxes (IB–DB)
  3. Different balls, identical boxes (DB–IB)
  4. Identical balls, identical boxes (IB–IB)

1. Different Balls & Different Boxes (DB–DB)

Example 1

Problem: 3 distinct balls $A,B,C$ into 2 distinct boxes $X,Y$, no restriction. How many ways?

Solution: Each ball has 2 choices (X or Y). So total ways $= 2^3 = 8$.

Example 2

Problem: 3 distinct balls $A,B,C$ into 3 distinct boxes $X,Y,Z$, no box empty.

Solution: Total functions from 3 balls to 3 boxes $= 3^3 = 27$. Subtract distributions where some box is empty (onto counting):

  • Exactly 1 box empty: choose the empty box in $^3C_1 = 3$ ways, remaining 2 boxes get all 3 balls: $2^3 = 8$ ways. Total $= 3 \times 8 = 24$.

Distributions with at least one empty box $= 24$. So onto (no box empty) $= 27 - 24 = 3$ ways.

Example 3

Problem: 4 distinct balls into 2 distinct boxes, each box must get at least 1 ball.

Solution: Total ways (no restriction) $= 2^4 = 16$. Cases with some box empty: if box X empty, all 4 in Y (1 way); if box Y empty, all 4 in X (1 way). So invalid $= 2$ ways.

Valid ways $= 16 - 2 = 14$.

Example 4

Problem: 4 distinct balls and 4 distinct boxes, each box gets exactly one ball.

Solution: This is just permutations of 4 balls into 4 boxes: $4! = 24$.

Example 5

Problem: 5 distinct balls, 3 distinct boxes, each box can hold any number of balls. How many distributions?

Solution: Each ball has 3 choices (which box). Total ways $= 3^5 = 243$.


2. Identical Balls & Different Boxes (IB–DB)

Use stars and bars for equations like $x_1 + x_2 + \dots + x_k = N$.

Example 1

Problem: 4 identical balls into 3 distinct boxes, no restriction.

Solution: Let $x_1,x_2,x_3$ be number of balls in each box.

$x_1 + x_2 + x_3 = 4$, $x_i \ge 0$. Number of non-negative solutions $= {}^{4+3-1}C_{3-1} = {}^6C_2 = 15$.

Example 2

Problem: 5 identical balls into 3 distinct boxes, each box must get at least 1 ball.

Solution: Let $x_i \ge 1$ be balls per box, $x_1 + x_2 + x_3 = 5$.

Convert: $x_i = y_i + 1$, $y_i \ge 0$.

$y_1 + y_2 + y_3 = 5 - 3 = 2$. Number of solutions $= {}^{2+3-1}C_{3-1} = {}^4C_2 = 6$.

Example 3

Problem: 6 identical balls into 4 distinct boxes, first box must contain at least 2 balls.

Solution: Let box1 contain $x_1 \ge 2$, others $x_2,x_3,x_4 \ge 0$.

$x_1 + x_2 + x_3 + x_4 = 6$.

Put $x_1 = y_1 + 2$, $y_1 \ge 0$:

$y_1 + x_2 + x_3 + x_4 = 4$ with all $\ge 0$. Solutions $= {}^{4+4-1}C_{4-1} = {}^7C_3 = 35$.

Example 4

Problem: 7 identical balls into 3 distinct boxes, each box contains at most 4 balls.

Solution: Let $x_1+x_2+x_3=7$, $0 \le x_i \le 4$.

Total non-negative solutions (no upper bound) $= {}^{7+3-1}C_{3-1} = {}^9C_2 = 36$.

Subtract cases where some $x_i \ge 5$. By symmetry, count for $x_1 \ge 5$ and multiply by 3.

Let $x_1 = 5 + y_1$, $y_1 \ge 0$:

$y_1 + x_2 + x_3 = 2$ → ${}^{2+3-1}C_{3-1} = {}^4C_2 = 6$.

For $x_1 \ge 5$ we get 6 solutions; same for $x_2$ and $x_3$ → $3 \times 6 = 18$.

No overlap possible because sum is only 7 (can’t have two variables ≥5). So valid solutions $= 36 - 18 = 18$.

Example 5

Problem: 8 identical balls into 4 distinct boxes, at least one box empty.

Solution: Total non-negative solutions of $x_1+x_2+x_3+x_4=8$:

${}^{8+4-1}C_{4-1} = {}^{11}C_3 = 165$.

Solutions with no box empty (all $x_i \ge 1$): Put $x_i = y_i + 1$ → $y_1 + y_2 + y_3 + y_4 = 4$:

${}^{4+4-1}C_{4-1} = {}^7C_3 = 35$.

At least one box empty $= 165 - 35 = 130$.


3. Different Balls & Identical Boxes (DB–IB)

Boxes are not labeled. Only the grouping (which balls together) matters. We count partitions of the set of balls, taking care of equal-size groups.

Example 1

Problem: 3 distinct balls $\{A,B,C\}$ into 2 identical boxes, boxes can be empty.

Solution: “Two identical boxes” but allowing empties is same as deciding which balls go together, because empty box doesn’t add a new pattern. So we are just partitioning the set into at most 2 groups.

  • All 3 together in one box: $\{A,B,C\}$.
  • Split as 2+1: $\{A,B\}\{C\}$, $\{A,C\}\{B\}$, $\{B,C\}\{A\}$.

Total ways $= 4$.

Example 2

Problem: 3 distinct balls into 3 identical boxes, no box empty.

Solution: If all 3 boxes are non-empty with identical boxes, each box must get exactly 1 ball.

But boxes are identical, so any “who goes to which box” looks the same: each ball in its own box. So only 1 way.

Example 3

Problem: 4 distinct balls $\{A,B,C,D\}$ into 2 identical boxes, no box empty.

Solution: We split 4 balls into 2 unlabeled groups, both non-empty.

Possible size patterns: 1+3 or 2+2.

  • 1+3 split: choose the 1-ball group in $^4C_1 = 4$ ways. The other 3 go together. Since boxes are identical, 1+3 and 3+1 are same, so these 4 are all distinct partitions.
  • 2+2 split: choose 2 balls for first group: $^4C_2 = 6$, but each partition is counted twice (group1/group2 swapped), so distinct partitions $= 6/2 = 3$.

Total ways $= 4 + 3 = 7$.

Example 4

Problem: 4 distinct balls into 3 identical boxes, any box may be empty.

Solution: We only care about how balls are grouped.

Possible group size patterns (allow ≤3 groups):

  • 4 (all in one box): 1 way: $\{A,B,C,D\}$.
  • 3+1: choose 1 alone: $^4C_1 = 4$ partitions.
  • 2+2: as in Example 3 → $3$ partitions.
  • 2+1+1: choose pair first: $^4C_2 = 6$, the remaining two singles are identical boxes, but singles are just individual balls, so no division by 2. So $6$ partitions.
  • 1+1+1+1 would need 4 boxes, but we only have 3 boxes, so not allowed.

Total ways $= 1 + 4 + 3 + 6 = 14$.

Example 5

Problem: 5 distinct balls into 2 identical boxes, empty box allowed.

Solution: We partition 5 balls into ≤2 unlabeled groups.

Patterns: all 5 together (5), or 4+1, or 3+2.

  • 5: $\{A,B,C,D,E\}$ → 1 way.
  • 4+1: choose the single ball: $^5C_1 = 5$ ways.
  • 3+2: choose the 3-ball group: $^5C_3 = 10$, but 3+2 and 2+3 are same (boxes identical), so distinct partitions $= 10/2 = 5$.

Total ways $= 1 + 5 + 5 = 11$.


4. Identical Balls & Identical Boxes (IB–IB)

Now only the pattern “how many balls in each box” matters, boxes are not labeled, balls are not labeled. This is essentially integer partition with at most $k$ parts.

Example 1

Problem: 4 identical balls into 2 identical boxes, boxes may be empty.

Solution: We need unordered pairs $(a,b)$ with $a+b=4$, $a,b \ge 0$, and $(a,b)$ ≡ $(b,a)$.

Possible $(a,b)$: (4,0), (3,1), (2,2). So there are 3 distinct ways.

Example 2

Problem: 5 identical balls into at most 3 identical boxes, boxes may be empty.

Solution: We want partitions of 5 into ≤3 parts:

  • 5
  • 4 + 1
  • 3 + 2
  • 3 + 1 + 1
  • 2 + 2 + 1

That is 5 ways.

Example 3

Problem: 6 identical balls into 3 identical boxes, no box empty.

Solution: Partitions of 6 into exactly 3 positive parts (order not important):

  • 4 + 1 + 1
  • 3 + 2 + 1
  • 2 + 2 + 2

So there are 3 ways.

Example 4

Problem: 7 identical balls into at most 3 identical boxes, boxes may be empty.

Solution: Partitions of 7 into ≤3 parts:

  • 7
  • 6 + 1
  • 5 + 2
  • 5 + 1 + 1
  • 4 + 3
  • 4 + 2 + 1
  • 3 + 3 + 1
  • 3 + 2 + 2

Total ways $= 8$.

Example 5

Problem: 8 identical balls into exactly 3 identical boxes, boxes non-empty.

Solution: Partitions of 8 into exactly 3 positive parts:

  • 6 + 1 + 1
  • 5 + 2 + 1
  • 4 + 3 + 1
  • 4 + 2 + 2
  • 3 + 3 + 2

So there are 5 ways.


These 20 examples cover all four standard models of balls-and-boxes questions and are ideal for building concept + question bank for NIMCET / CUET / SSC etc.


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