In analysis the supremum or least upper bound of a set S of real numbers is denoted by sup(S) and is defined to be the smallest real number that is greater than or equal to every number in S. If no such number exists (because S isn't bounded above), then we define sup(S) = +∞. If S is empty, we define sup(S) = -∞ (see extended real number line).
An important property of the real numbers is that every set of real numbers has a supremum. This is sometimes called the supremum axiom and expresses the completeness of the real numbers.
Examples:
- sup { x in R : 0 < x < 1 } = 1
- sup { x in R : x2 < 2 } = √2
- sup { (-1)n - 1/n : n = 1, 2, 3, ...} = 1
Note that the supremum of S doesn't have to belong to S (like in these examples). If the supremum value belongs to the set then we can say there is a largest element in the set.
In general, in order to show that sup(S) ≤ A, one only has to show that x ≤ A for all x in S. Showing that sup(S) ≥ A is a bit harder: for any ε > 0, you have to exhibit an element x in S with x ≥ A - ε.
In functional analysis, one often considers the supremum norm of a bounded function f : X -> R (or C); it is defined as
- ||f||∞ = sup { |f(x)| : x ∈ X }
See also: infimum or greatest lower bound, limit superior.
Generalization
One can define suprema for subsets S of arbitrary partially ordered sets (P, <=) as follows:
- A supremum or least upper bound of S is an element u in P such that
- x <= u for all x in S, and
- for any v in P such that x <= v for all x in S it holds that u <= v.
In an arbitrary partially ordered set, there may exist subsets which don't have a supremum. In a lattice every nonempty finite subset has a supremum, and in a complete lattice every subset has a supremum.
Common misspelling and questions (FAQ)
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