Question

Find the value of each permutation. $$ P(7,0) $$

Short answer

1

Step-by-step solution

Understand the Permutation Notation

The notation \(P(n,r)\) represents the number of permutations of \(n\) objects taken \(r\) at a time. It is calculated using the formula \((n!) / ((n-r)!)\).

Identify Values of \(n\) and \(r\)

In this problem, \(n = 7\) and \(r = 0\). We need to find \(P(7,0)\).

Substitute Values in the Formula

Use the formula \((n!) / ((n-r)!)\) to find the value of \(P(7,0)\). This becomes \(P(7,0) = (7!) / ((7-0)!) = (7!) / (7!)\).

Simplify the Expression

The expression \((7!) / (7!)\) simplifies to 1, as any number divided by itself equals 1.

Key concepts

Permutation Formula

Permutations represent the number of ways to arrange a specific number of items. The permutation formula is given by \( P(n, r) = \frac{n!}{(n-r)!} \). Here, \( P(n, r) \) denotes the number of permutations of \ objects taken \ r \ at a time. This formula considers the order of arrangement, meaning the sequence matters. For example, there are different permutations of arranging ABC than ACB, even though the letters are the same.
When studying permutations, remember that it is all about arranging objects in a specific sequence. The formula divides \ factorial by the factorial of \ minus \r.\

Factorial Notation

Factorial notation is a crucial part of calculating permutations. Factorial of a non-negative integer \, denoted by \, is the product of all positive integers less than or equal to \. For instance: \( n! = n \times (n-1) \times (n-2) \times... \times 1 \). Let's break it down with some examples:

• \(5! = 5 \times 4 \times 3 \times 2 \times 1 = 120 \
• \(3! = 3 \times 2 \times 1 = 6 \
• \ (1! = 1 \).
• \ (0! = 1 \) - By definition, the factorial of zero is 1.

Factorial notation simplifies the computation of permutations and combinations, making complex counting problems easier to solve. When dealing with large numbers, remember that factorials grow rapidly in size. Understanding and mastering factorial notation is key to working with combinatorics problems.

Combinatorics

Combinatorics is a field of mathematics focused on counting, arrangement, and combination of objects. It encompasses a wide range of problems related to both finite and infinite sets. There are several main branches within combinatorics:

• Permutations: The arrangement of objects where order matters. For example, how to arrange a deck of cards.
• Combinations: The selection of objects where order does not matter. Selecting 3 fruits from a basket of 5 different fruits.
• Graph Theory: Deals with points connected by lines. Used in network analysis and computer science.
• Design Theory: Designing sets with specific properties. Common in experimental design and coding theory.

A fundamental part of combinatorics is understanding how to apply formulas like permutations and combinations to solve counting problems. It crosses into many applications in probability, computer science, and optimization, making it an essential tool in both theoretical and applied mathematics. By mastering combinatorics, students can solve a variety of real-world problems.