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In mathematics, the supremum of an ordered set S is the least element that is greater than or equal to each element of S. Consequently, it is also referred to as the least upper bound (also lub and LUB). The supremum may, or may not, belong to the set S. If S contains a greatest element, then that element is the supremum; and if not, then the supremum does not belong to the set.
Suprema are often considered for subsets of real numbers, rational numbers, or any other well-known mathematical structures for which it is immediately clear what it means for an element to be "greater-or-equal" than another element. Nonetheless, the definition generalizes easily to the more abstract setting of order theory where one considers arbitrary partially ordered sets.
In any case, suprema must not be confused with minimal upper bounds, or with maximal or greatest elements. Some notes on these issues follow below.
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Supremum of a set of real numbers
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. An important property of the real numbers is its completeness: every nonempty set of real numbers that is bounded above has a supremum. If, in addition, we define sup(S) = −∞ when S is empty and sup(S) = +∞ when S is not bounded above, then every set of real numbers has a supremum (see extended real number line).
Examples:
The supremum of S may or may not belong to S. In particular, note the third example where the supremum of a set of rationals is irrational (which means that the rationals are incomplete). However, if the supremum value belongs to the set then it is the greatest element in the set. The term maximal element is also synonymous as long as one deals with real numbers or any other totally ordered set.
Since sup(S) is the least upper bound, to show that sup(S) ≤ a, one only has to show that a itself is an upper bound for S, i.e. one only has to show that x ≤ a for all x in S. Showing that sup(S) ≥ a is a bit harder: for any b < a, we must find an x in S with x ≥ b.
In functional analysis, one often considers the supremum norm (also sometimes referred to as the uniform norm) of a bounded function f X -> R (or C); it is defined as
and gives rise to several important Banach spaces.
See also: infimum or greatest lower bound, limit superior.
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Approximation property
Let S be a nonempty set of real numbers with a supremum,
say b = sup S. Then for every a < b there is some x in S such that
Proof:
First of all, for all x in S.
If we had for every x in S, then would be an upper bound for S smaller than the least upper bound. Therefore for at least one x in S.
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Additive property
Given nonempty subsets A and B of R, let C denote the set
If each of A and B has a supremum, then C has a supremum and
sup C = sup A + sup B.
proof:
Let a = sup A, b = sup B. If then z = x + y, where ,,so .
Hence a + b is an upper bound for C, so C has a supremum, say c = sup C, and . We show next that .
Choose any z > 0. By the approximation property, there is an x in A and a y in B such that a − z < x and b − z < y. Adding these inequalities we find |
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