UPPER AND LOWER BOUNDS

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In mathematics, especially in order theory, an 'upper bound' of a subset ''S'' of some partially ordered set (''P'', ≤) is an element of ''P'' which is greater than or equal to every element of ''S''. The term 'lower bound' is defined dually as an element of ''P'' which is lesser than or equal to every element of ''S''. A set with an upper bound is said to be 'bounded from above' by that bound, a set with a lower bound is said to be 'bounded from below' by that bound. The empty subset Φ of a partially ordered set ''P'' is conventionally considered to be both bounded from above and bounded from below with every element of ''P'' being both upper and lower bound of Φ.
In the context of computational complexity in computer science, upper and lower bound are usually expressed using big O notation and big omega notation, respectively.
Formally, given a partially ordered set (''P'', ≤), an element ''u'' of ''P'' is an upper bound of a subset ''S'' of ''P'', if
: ''s'' ≤ ''u'', for all elements ''s'' of ''S''.
Using ≥ instead of ≤ leads to the dual definition of a lower bound of ''S''.

Contents

Properties

Distinctions between upper bounds, least upper bounds/supremums

Examples

Bounds of functions

See also

Properties

A subset ''S'' of a partially ordered set ''P'' may fail to have any bounds or may have many different upper and lower bounds. By transitivity, any element greater than or equal to an upper bound of ''S'' is again an upper bound of ''S'', and any element lesser than or equal to any lower bound of ''S'' is again a lower bound of ''S''.
The bounds of a subset ''S'' of a partially ordered set ''P'' may or may not be elements of ''S'' itself. If ''S'' contains an upper bound then that upper bound is unique and is called the greatest element of ''S''. The greatest element of ''S'' (if it exists) is also the least upper bound of ''S''.

Distinctions between upper bounds, least upper bounds/supremums

The transitivity property leads to the consideration of least upper bounds (or ''suprema'') and greatest lower bounds (or ''infima'').

Examples

Every subset of the natural numbers has a lower bound, namely zero. Every finite subset of the natural numbers also has an upper bound. Every finite subset of a totally ordered set has both upper and lower bounds.
An infinite subset of the natural numbers cannot be bounded from above. An infinite subset of the integers may be bounded from below or bounded from above, but not both. An infinite subset of the rational numbers may or may not be bounded from below and may or may not be bounded from above.
A special situation does occur when a subset is equal to the set of lower bounds of its own set of upper bounds. This observation leads to the definition of Dedekind cuts.
Further introductory information is found in the article on order theory.

Bounds of functions

The definitions can be generalised to sets of functions.
Let ''S'' be a set of functions $S=\{f\_1(cdot),\; f\_2(cdot),\; dots\}$, with domain ''F'' and having a partially ordered set as a codomain.
A function $g(cdot)$ with domain $G\; supseteq\; F$ is an ''upper bound'' of ''S'' if $f\_i(x)\; le\; g(x)$ for each function $f\_i(cdot)$ in the set and for each ''x'' in ''F''.
In particular, $g(cdot)$ is said to be an ''upper bound'' of $f(cdot)$ when ''S'' consists of only one function $f(cdot)$ (i.e. ''S'' is a singleton). Note that this does not imply that $f(cdot)$ is a ''lower bound'' of $g(cdot)$.

See also

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