Difference between revisions of "Bounded Functions"

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(Created page with "Image:Bounded and unbounded functions.svg|right|thumb|A schematic illustration of a bounded function (red) and an unbounded one (blue). Intuitively, the graph of a bounded f...")
 
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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  
 
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  
 
:<math>|f(x)|\le M</math>
 
:<math>|f(x)|\le M</math>
for all ''x'' in ''X''.<ref name=":0">{{Cite book|last=Jeffrey|first=Alan|url=https://books.google.com/books?id=jMUbUCUOaeQC&newbks=0&printsec=frontcover&pg=PA66&dq=%22Bounded+function%22&hl=en|title=Mathematics for Engineers and Scientists, 5th Edition|date=1996-06-13|publisher=CRC Press|isbn=978-0-412-62150-5|language=en}}</ref> A function that is ''not'' bounded is said to be '''unbounded'''.{{Citation needed|date=September 2021}}
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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.<ref name=":0" />{{Additional citation needed|date=September 2021}}
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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'' = (''a''<sub>0</sub>, ''a''<sub>1</sub>,  ''a''<sub>2</sub>, ...) is bounded if there exists a real number ''M'' such that
 
An important special case is a '''bounded sequence''', where ''X'' is taken to be the set '''N''' of natural numbers. 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 forms the sequence space <math>l^\infty</math>.{{Citation needed|date=September 2021}}
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for every natural number ''n''. The set of all bounded sequences forms the sequence space <math>l^\infty</math>.
  
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''.{{Citation needed|date= September 2021}}
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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 ==
 
== Related notions ==

Revision as of 15:45, 17 November 2021

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.

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.

Related notions

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. Boundedness can also be determined by looking at a graph.

Examples

  • The sine function sin : RR is bounded since for all .
  • 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.
  • The inverse trigonometric function arctangent defined as: y = arctan(x) or x = tan(y) is increasing for all real numbers x and bounded with −Template:Sfrac < y < Template:Sfrac radians.
  • By the boundedness theorem, every continuous function on a closed interval, such as 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 : CC 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 is 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 larger than the set of continuous functions on that interval. Moreover, continuous functions need not be bounded; for example, the functions and defined by and are both continuous, but neither is bounded. (However, a continuous function must be bounded if its domain is both closed and bounded.)

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