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[[for all]] ''x'' in ''X''. A function that is ''not'' bounded is said to be '''unbounded'''.
[[for all]] ''x'' in ''X''. A function that is ''not'' bounded is said to be '''unbounded'''.


Sometimes, if ''f''(''x'') ≤ ''A'' for all ''x'' in ''X'', then the function is said to be '''bounded above''' by ''A''. On the other hand, if ''f''(''x'') ≥ ''B'' for all ''x'' in ''X'', then the function is said to be '''bounded below''' by ''B''.
If ''f'' is real-valued and ''f''(''x'') ≤ ''A'' for all ''x'' in ''X'', then the function is said to be '''bounded (from) above''' by ''A''. If ''f''(''x'') ≥ ''B'' for all ''x'' in ''X'', then the function is said to be '''bounded (from) below''' by ''B''. A real-valued function is bounded if and only if it is bounded from above and below.


An important special case is a '''bounded sequence''', where ''X'' is taken to be the set '''N''' of [[natural number]]s. Thus a [[sequence]] ''f'' = (''a''<sub>0</sub>, ''a''<sub>1</sub>, ''a''<sub>2</sub>, ...) is bounded if there exists a real number ''M'' such that
The concept should not be confused with that of a [[bounded operator]].


An important special case is a '''bounded sequence''', where ''X'' is taken to be the set '''N''' of [[natural number]]s. Thus a [[sequence]] ''f'' = (''a''<sub>0</sub>,
''a''<sub>1</sub>, ''a''<sub>2</sub>, ...) is bounded if there exists a real number ''M'' such that
:<math>|a_n|\le M</math>
:<math>|a_n|\le M</math>
for every natural number ''n''. The set of all bounded sequences, equipped with a [[vector space]] structure, forms a [[sequence space]].
for every natural number ''n''. The set of all bounded sequences forms the [[sequence space]] <math>l^\infty</math>.


This definition can be extended to functions taking values in a [[metric space]] ''Y''. Such a function ''f'' defined on some set ''X'' is called bounded if for some ''a'' in ''Y'' there exists a real number ''M'' such that its distance function ''d'' ("distance") is less than ''M'', i.e.
The definition of boundedness can be '''generalized''' to functions ''f : X Y'' taking values in a more general space ''Y'' by requiring that the image ''f(X)'' is a [[bounded set]] in ''Y''.


== Related Notions ==
:<math>d(f(x), a)\le M</math>
Weaker than boundedness is [[local boundedness]]. A family of bounded functions may be [[Uniform boundedness|uniformly bounded]].


A [[bounded operator]] ''T : X → Y'' is not a bounded function in the sense of this page's definition (unless ''T = 0''), but has the weaker property of '''preserving boundedness''': Bounded sets ''M ⊆ X'' are mapped to bounded sets ''T(M) ⊆ Y.'' This definition can be extended to any function ''f'' : ''X'' → ''Y'' if ''X'' and ''Y'' allow for the concept of a bounded set.
for all ''x'' in ''X''.

If this is the case, there is also such an ''M'' for each other ''a'', by the triangle inequality.


==Examples==
==Examples==
* The function ''f'' : '''R''' → '''R''' defined by ''f''(''x'') = sin(''x'') is bounded. The [[sine]] function is no longer bounded if it is defined over the set of all complex numbers.
* The function sin : '''R''' → '''R''' is bounded.
* The function <math>f(x)=(x^2-1)^{-1}</math>defined for all real ''x'' except for −1 and 1 is unbounded. As ''x'' approaches −1 or 1, the values of this function get larger and larger in magnitude. This function can be made bounded if one considers its domain to be, for example, [2, ∞) or (−∞, −2].
* The function

:: <math>f(x)=\frac{1}{x^2-1}</math>
* The function <math display="inline">f(x)= (x^2+1)^{-1}</math>defined for all real ''x'' ''is'' bounded.
: defined for all real ''x'' except for −1 and 1 is unbounded. As ''x'' gets closer to −1 or to 1, the values of this function get larger and larger in magnitude. This function can be made bounded if one considers its domain to be, for example, [2, ∞) or (−∞, −2].

* The function
* Every [[continuous function]] ''f'' : [0, 1] → '''R''' is bounded. More generally, any continuous function from a [[compact space]] into a metric space is bounded.
:: <math>f(x)=\frac{1}{x^2+1}</math>
*All complex-valued functions ''f'' : '''R''' → '''C''' which are [[Entire function|entire]] are either unbounded or constant as a consequence of [[Liouville's theorem (complex analysis)|Liouville's theorem]]. In particular, the complex sin : '''C''' → '''C''' must be unbounded since it's entire.
: defined for all real ''x'' ''is'' bounded.
* Every [[continuous function]] ''f'' : [0, 1] → '''R''' is bounded. This is really a special case of a more general fact: Every continuous function from a [[compact space]] into a metric space is bounded.
** Note that for example <math>f(x) \neq \frac{1}{x}</math>, because <math>\lim_{h\rightarrow 0}f(h) = \infty \notin \mathbb{R}</math>
* The function ''f'' which takes the value 0 for ''x'' [[rational number]] and 1 for ''x'' [[irrational number]] (cf. [[Nowhere continuous function#Dirichlet function|Dirichlet function]]) ''is'' bounded. Thus, a function does not need to be "nice" in order to be bounded. The set of all bounded functions defined on [0, 1] is much bigger than the set of [[continuous function]]s on that interval.
* The function ''f'' which takes the value 0 for ''x'' [[rational number]] and 1 for ''x'' [[irrational number]] (cf. [[Nowhere continuous function#Dirichlet function|Dirichlet function]]) ''is'' bounded. Thus, a function does not need to be "nice" in order to be bounded. The set of all bounded functions defined on [0, 1] is much bigger than the set of [[continuous function]]s on that interval.


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* [[Bounded set]]
* [[Bounded set]]
* [[Support (mathematics)#Compact support|Compact support]]
* [[Support (mathematics)#Compact support|Compact support]]
*[[Local boundedness]]
* [[Uniform boundedness]]
* [[Uniform boundedness]]



Revision as of 13:16, 14 January 2019

A schematic illustration of a bounded function (red) and an unbounded one (blue). Intuitively, the graph of a bounded function stays within a horizontal band, while the graph of an unbounded function does not.

In mathematics, a function f defined on some set X with real or complex values is called bounded, if the set of its values is bounded. In other words, there exists a real number M such that

for all x in X. A function that is not bounded is said to be unbounded.

If f is real-valued and f(x) ≤ A for all x in X, then the function is said to be bounded (from) above by A. If f(x) ≥ B for all x in X, then the function is said to be bounded (from) below by B. A real-valued function is bounded if and only if it is bounded from above and below.

An important special case is a bounded sequence, where X is taken to be the set N of natural numbers. Thus a sequence f = (a0, a1, a2, ...) is bounded if there exists a real number M such that

for every natural number n. The set of all bounded sequences forms the sequence space .

The definition of boundedness can be generalized to functions f : X → Y taking values in a more general space Y by requiring that the image f(X) is a bounded set in Y.

Weaker than boundedness is local boundedness. A family of bounded functions may be uniformly bounded.

A bounded operator T : X → Y is not a bounded function in the sense of this page's definition (unless T = 0), but has the weaker property of preserving boundedness: Bounded sets M ⊆ X are mapped to bounded sets T(M) ⊆ Y. This definition can be extended to any function f : XY if X and Y allow for the concept of a bounded set.

Examples

  • The function sin : RR is bounded.
  • The function defined for all real x except for −1 and 1 is unbounded. As x approaches −1 or 1, the values of this function get larger and larger in magnitude. This function can be made bounded if one considers its domain to be, for example, [2, ∞) or (−∞, −2].
  • The function defined for all real x is bounded.
  • Every continuous function f : [0, 1] → R is bounded. More generally, any continuous function from a compact space into a metric space is bounded.
  • All complex-valued functions f : RC which are entire are either unbounded or constant as a consequence of Liouville's theorem. In particular, the complex sin : CC must be unbounded since it's entire.
  • The function f which takes the value 0 for x rational number and 1 for x irrational number (cf. Dirichlet function) is bounded. Thus, a function does not need to be "nice" in order to be bounded. The set of all bounded functions defined on [0, 1] is much bigger than the set of continuous functions on that interval.

See also