
Partitioning a Set
Let \( A \) be a set, and let \( A_1, A_2, ..., A_n \) be subsets of \( A \). These subsets form a partition of \( A \) if they satisfy the following three fundamental conditions:
- Non-empty subsets: Each subset \( A_1, A_2, ..., A_n \) contains at least one element. \[ A_i \neq \emptyset, \quad \forall i = 1, 2, ..., n \]
- Pairwise disjoint: No two distinct subsets share any elements. \[ A_i \cap A_j = \emptyset, \quad \forall i \neq j \]
- Complete coverage: The union of all subsets reconstructs the original set \( A \), meaning every element of \( A \) belongs to exactly one subset. \[ A = \bigcup_{i=1}^{n} A_i = A_1 \cup A_2 \cup ... \cup A_n \]
In simple terms, a partition completely breaks down the set \( A \) into distinct, non-overlapping subsets, ensuring that no elements are left out.
Let’s explore this concept with some concrete examples.
Examples of Set Partitions
Example 1
Consider the finite set \( A = \{1, 2, 3\} \).
One possible way to partition this set is:
\( A_1 = \{1\} \) and \( A_2 = \{2, 3\} \).
We can verify that this satisfies all the conditions for a partition:
Each subset is non-empty: $$ A_1, A_2 \ne \emptyset $$ The subsets are disjoint (i.e., they have no elements in common): $$ A_1 \cap A_2 = \emptyset $$ Their union reconstructs the original set: $$ A_1 \cup A_2 = A $$
Similarly, other valid partitions include:
\( B_1 = \{2\} \) and \( B_2 = \{1, 3\} \),
\( C_1 = \{3\} \) and \( C_2 = \{1, 2\} \).
In every case, the subsets are non-empty, mutually exclusive, and together they completely cover \( A \).
Example 2
Now, let’s consider an infinite set: the set of natural numbers \( \mathbb{N} \). We can partition it into two subsets:
The set of even numbers: \( \{0, 2, 4, 6, 8, ...\} \), and the set of odd numbers: \( \{1, 3, 5, 7, 9, ...\} \).
$$ A = \{0, 2, 4, 6, 8, ...\} $$
$$ B = \{1, 3, 5, 7, 9, ...\} $$
These two subsets form a valid partition of \( \mathbb{N} \) because:
- Neither subset is empty.
- They do not overlap (a number is either even or odd, never both).
- Their union covers all natural numbers: $$ A \cup B = \mathbb{N} $$
This demonstrates that partitions are not limited to finite sets—they can also be applied to infinite ones.
Example 3
Now, let’s look at a non-numerical example using a set of words:
$$ S = \{"cat", "dog", "fish", "elephant"\} $$
We can partition this set based on a specific criterion—say, the number of letters in each word:
- \( S_1 = \{"cat", "dog"\} \) (3 letters)
- \( S_2 = \{"fish"\} \) (4 letters)
- \( S_3 = \{"elephant"\} \) (8 letters)
Once again, this satisfies the partition conditions:
- Each subset is non-empty.
- There is no overlap—each word belongs to exactly one subset.
- The union of these subsets reconstructs the original set: $$ S = S_1 \cup S_2 \cup S_3 $$
Being able to systematically divide a set based on clear criteria is a fundamental skill in mathematics, science, and countless real-world applications.
So next time you categorize objects, groups, or data into distinct, non-overlapping categories, remember: you’re intuitively applying the mathematical principle of partitioning!