Analyzing the Setup
Let us begin by visualizing our sets. Imagine A and B as two separate containers holding a finite number of distinct objects.
This finiteness is our anchor, allowing us to count the elements. Let the number of elements in set A be n, and the number of elements in set B be m.
Mathematically, we define this as:
∣A∣=n,∣B∣=m
The Logic of Injection
The problem provides a powerful tool: an injective mapping f:A→B. An injective, or one-to-one, function ensures that every element in A maps to a unique, distinct partner in B.
No two elements in A can share the same partner. If every element in A demands its own unique space in B, then B must have at least as much "room" as A.
If
A had more elements than
B, we would inevitably run out of unique partners in
B. Therefore, we must conclude:
n≤m
The Squeeze
The problem also provides a second, equally powerful condition: an injective mapping g:B→A. We apply the exact same logic in reverse.
If every element in
B maps to a unique partner in
A, then
A must have enough elements to accommodate all of
B. This implies that the size of
B cannot exceed the size of
A:
m≤n
We now have two profound inequalities:
n≤m and
m≤n. Since
n and
m are integers representing counts of objects, the only mathematical possibility that satisfies both conditions simultaneously is:
n=m
The Grand Finale
We have established that ∣A∣=∣B∣. In the realm of finite sets, this is a significant realization.
When two finite sets have the exact same number of elements, any injective mapping between them is automatically surjective. Because every element in A maps to a unique element in B, and there are no elements left over in B, every element in B must be covered.
A function that is both injective and surjective is, by definition, a bijection. We have proven that a bijective mapping exists, confirming the Schröder-Bernstein theorem for finite sets.