Counting Principles

Counting Principles - Formulas & Techniques

IB Mathematics Analysis & Approaches (SL & HL)

🎯 Fundamental Counting Principles

Multiplication Rule (AND Rule):

If one event can happen in \(m\) ways AND another event can happen in \(n\) ways, then both events together can happen in:

\[m \times n \text{ ways}\]

Example: If there are 5 shirts and 3 pants, you can make \(5 \times 3 = 15\) different outfits

Addition Rule (OR Rule):

If one event can happen in \(m\) ways OR another event can happen in \(n\) ways (mutually exclusive), then:

\[m + n \text{ ways}\]

Example: If you can travel by 3 buses OR 2 trains, you have \(3 + 2 = 5\) transport options

❗ Factorial Notation

Definition:

The factorial of a positive integer \(n\), denoted \(n!\), is the product of all positive integers from 1 to \(n\).

\[n! = n \times (n-1) \times (n-2) \times \cdots \times 3 \times 2 \times 1\]

Special Cases:

\[0! = 1\]

\[1! = 1\]

Examples:

\(3! = 3 \times 2 \times 1 = 6\)

\(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120\)

\(10! = 3,628,800\)

🔢 Permutations (Order Matters)

When to Use:

Use permutations when the order of arrangement matters. Different orders count as different outcomes.

Permutation of n objects taken r at a time:

\[P(n,r) = \frac{n!}{(n-r)!}\]

Also written as: \(^nP_r\) or \(P_r^n\) or \(_nP_r\)
where \(n\) = total number of items, \(r\) = number of items to arrange

Permutation of all n objects:

\[P(n,n) = n!\]

Example: Arranging 5 books on a shelf = \(5! = 120\) ways

Permutations with Repetition:

When some objects are identical, the number of distinct permutations of \(n\) objects where there are \(p\) of one type, \(q\) of another type, etc.:

\[\frac{n!}{p! \times q! \times r! \times \cdots}\]

Example: Arrangements of MISSISSIPPI = \(\frac{11!}{4! \times 4! \times 2!}\) (4 S's, 4 I's, 2 P's)

🎲 Combinations (Order Does NOT Matter)

When to Use:

Use combinations when the order does NOT matter. Only the selection itself matters, not the arrangement.

Combination of n objects taken r at a time:

\[C(n,r) = \binom{n}{r} = \frac{n!}{r!(n-r)!}\]

Also written as: \(^nC_r\) or \(C_r^n\) or \(_nC_r\) or \(\binom{n}{r}\) (binomial coefficient)
where \(n\) = total number of items, \(r\) = number of items to select

Relationship Between Permutations and Combinations:

\[P(n,r) = C(n,r) \times r!\]

Permutations = Combinations × (arrangements of selected items)

⭐ Important Properties

Combination Properties:

\[C(n,0) = 1\]

\[C(n,n) = 1\]

\[C(n,1) = n\]

Symmetry Property:

\[C(n,r) = C(n,n-r)\]

Choosing \(r\) items is the same as choosing which \((n-r)\) items to leave out

Pascal's Identity:

\[C(n,r) = C(n-1,r-1) + C(n-1,r)\]

🔄 Circular Permutations

Arranging n distinct objects in a circle:

In circular arrangements, rotations of the same arrangement are considered identical.

\[(n-1)!\]

Example: Arranging 5 people around a circular table = \((5-1)! = 4! = 24\) ways

Circular arrangements with reflections considered identical:

When reflections are also considered the same (e.g., necklaces or bracelets):

\[\frac{(n-1)!}{2}\]

🔀 Complementary Counting

Method:

Sometimes it's easier to count the complement (what you DON'T want) and subtract from the total.

\[\text{Desired outcomes} = \text{Total outcomes} - \text{Unwanted outcomes}\]

When to Use:

• "At least one" problems
• Complex restriction problems
• When the complement is easier to count

🎨 Common Restriction Scenarios

Keeping certain items together:

Method: Treat the items that must stay together as a single unit, then arrange internally
Example: Arrange 5 people where 2 must sit together = \(4! \times 2!\)

Keeping certain items apart:

Method 1: Total arrangements - (arrangements where they're together)
Method 2: Arrange other items first, then place restricted items in gaps

Fixed positions:

Method: Place the fixed items first, then arrange the remaining items
Example: Arrange 6 books where 1 specific book must be first = \(5!\)

📊 Permutations vs Combinations

AspectPermutationCombination
OrderMattersDoes NOT matter
Formula\(\frac{n!}{(n-r)!}\)\(\frac{n!}{r!(n-r)!}\)
ExampleRace positions (1st, 2nd, 3rd)Selecting team members
KeywordsArrange, order, sequenceSelect, choose, group

🧮 Calculator Functions

📱 On most calculators and GDCs:
Factorial: Use the \(n!\) button or MATH menu
Permutations: Use \(nPr\) function → Enter \(n\), press nPr, enter \(r\)
Combinations: Use \(nCr\) function → Enter \(n\), press nCr, enter \(r\)
TI Calculators: MATH → PRB menu
Casio Calculators: OPTN → PROB menu

💡 Key Question to Ask: Does the order of selection matter? If YES → use Permutations. If NO → use Combinations. When in doubt, list out small examples to see if different orders create different outcomes.