In real analysis, the concepts of supremum and infimum are vital when dealing with bounded sets. The supremum, or least upper bound, of a set is the smallest real number that is greater than or equal to every element in the set. Conversely, the infimum, or greatest lower bound, is the largest real number less than or equal to every element in the set.
Consider two nonempty sets of real numbers, \(S\) and \(T\), that are both bounded above. Each has a supremum: \(M = \sup S\) and \(N = \sup T\). To find the supremum of the set \(S + T = \{s + t \mid s \in S, t \in T\}\), one shows that \(M + N\) is its upper bound.
- For every \(s \in S\) and \(t \in T\), \(s \leq M\) and \(t \leq N\). Therefore, \(s + t \leq M + N\), proving \(M + N\) is an upper bound for \(S + T\).
- Moreover, \(M + N\) is the least such bound, meaning no number less than \(M + N\) can serve as an upper bound for \(S + T\).
Similarly, if \(S\) and \(T\) are bounded below, we can explore their infimums. Denote \(A = \inf S\) and \(B = \inf T\). It follows that \(s \geq A\) and \(t \geq B\) for each \(s \in S\) and \(t \in T\). Thus, \(s + t \geq A + B\).
This confirms \(A + B\) as a lower bound, and further shows it is the greatest one, establishing that \(\inf(S + T) = \inf S + \inf T\). Understanding these dual concepts aids in managing more complex analysis involving bounded sets.