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Bounded function

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Mathematical function whose set of values is bounded
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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 {\displaystyle f} {\displaystyle f} defined on some set X {\displaystyle X} {\displaystyle X} with real or complex values is called bounded if the set of its values (its image) is bounded. In other words, there exists a real number M {\displaystyle M} {\displaystyle M} such that

| f ( x ) | M {\displaystyle |f(x)|\leq M} {\displaystyle |f(x)|\leq M}

for all x {\displaystyle x} {\displaystyle x} in X {\displaystyle X} {\displaystyle X}.[1] A function that is not bounded is said to be unbounded.[citation needed ]

If f {\displaystyle f} {\displaystyle f} is real-valued and f ( x ) A {\displaystyle f(x)\leq A} {\displaystyle f(x)\leq A} for all x {\displaystyle x} {\displaystyle x} in X {\displaystyle X} {\displaystyle X}, then the function is said to be bounded (from) above by A {\displaystyle A} {\displaystyle A}. If f ( x ) B {\displaystyle f(x)\geq B} {\displaystyle f(x)\geq B} for all x {\displaystyle x} {\displaystyle x} in X {\displaystyle X} {\displaystyle X}, then the function is said to be bounded (from) below by B {\displaystyle B} {\displaystyle B}. A real-valued function is bounded if and only if it is bounded from above and below.[1] [additional citation(s) needed ]

An important special case is a bounded sequence, where X {\displaystyle X} {\displaystyle X} is taken to be the set N {\displaystyle \mathbb {N} } {\displaystyle \mathbb {N} } of natural numbers. Thus a sequence f = ( a 0 , a 1 , a 2 , ) {\displaystyle f=(a_{0},a_{1},a_{2},\ldots )} {\displaystyle f=(a_{0},a_{1},a_{2},\ldots )} is bounded if there exists a real number M {\displaystyle M} {\displaystyle M} such that

| a n | M {\displaystyle |a_{n}|\leq M} {\displaystyle |a_{n}|\leq M}

for every natural number n {\displaystyle n} {\displaystyle n}. The set of all bounded sequences forms the sequence space l {\displaystyle l^{\infty }} {\displaystyle l^{\infty }}.[citation needed ]

The definition of boundedness can be generalized to functions f : X Y {\displaystyle f:X\rightarrow Y} {\displaystyle f:X\rightarrow Y} taking values in a more general space Y {\displaystyle Y} {\displaystyle Y} by requiring that the image f ( X ) {\displaystyle f(X)} {\displaystyle f(X)} is a bounded set in Y {\displaystyle Y} {\displaystyle Y}.[citation needed ]

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

A bounded operator T : X Y {\displaystyle T:X\rightarrow Y} {\displaystyle T:X\rightarrow Y} is not a bounded function in the sense of this page's definition (unless T = 0 {\displaystyle T=0} {\displaystyle T=0}), but has the weaker property of preserving boundedness; bounded sets M X {\displaystyle M\subseteq X} {\displaystyle M\subseteq X} are mapped to bounded sets T ( M ) Y {\displaystyle T(M)\subseteq Y} {\displaystyle T(M)\subseteq Y}. This definition can be extended to any function f : X Y {\displaystyle f:X\rightarrow Y} {\displaystyle f:X\rightarrow Y} if X {\displaystyle X} {\displaystyle X} and Y {\displaystyle Y} {\displaystyle Y} allow for the concept of a bounded set. Boundedness can also be determined by looking at a graph.[citation needed ]

Examples

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  • The sine function sin : R R {\displaystyle \sin :\mathbb {R} \rightarrow \mathbb {R} } {\displaystyle \sin :\mathbb {R} \rightarrow \mathbb {R} } is bounded since | sin ( x ) | 1 {\displaystyle |\sin(x)|\leq 1} {\displaystyle |\sin(x)|\leq 1} for all x R {\displaystyle x\in \mathbb {R} } {\displaystyle x\in \mathbb {R} }.[1] [2]
  • The function f ( x ) = ( x 2 1 ) 1 {\displaystyle f(x)=(x^{2}-1)^{-1}} {\displaystyle f(x)=(x^{2}-1)^{-1}}, defined for all real x {\displaystyle x} {\displaystyle x} except for −1 and 1, is unbounded. As x {\displaystyle x} {\displaystyle x} approaches −1 or 1, the values of this function get larger in magnitude. This function can be made bounded if one restricts its domain to be, for example, [ 2 , ) {\displaystyle [2,\infty )} {\displaystyle [2,\infty )} or ( , 2 ] {\displaystyle (-\infty ,-2]} {\displaystyle (-\infty ,-2]}.[citation needed ]
  • The function f ( x ) = ( x 2 + 1 ) 1 {\textstyle f(x)=(x^{2}+1)^{-1}} {\textstyle f(x)=(x^{2}+1)^{-1}}, defined for all real x {\displaystyle x} {\displaystyle x}, is bounded, since | f ( x ) | 1 {\textstyle |f(x)|\leq 1} {\textstyle |f(x)|\leq 1} for all x {\displaystyle x} {\displaystyle x}.[citation needed ]
  • The inverse trigonometric function arctangent defined as: y = arctan ( x ) {\displaystyle y=\arctan(x)} {\displaystyle y=\arctan(x)} or x = tan ( y ) {\displaystyle x=\tan(y)} {\displaystyle x=\tan(y)} is increasing for all real numbers x {\displaystyle x} {\displaystyle x} and bounded with π 2 < y < π 2 {\displaystyle -{\frac {\pi }{2}}<y<{\frac {\pi }{2}}} {\displaystyle -{\frac {\pi }{2}}<y<{\frac {\pi }{2}}} radians [3]
  • By the boundedness theorem, every continuous function on a closed interval, such as f : [ 0 , 1 ] R {\displaystyle f:[0,1]\rightarrow \mathbb {R} } {\displaystyle f:[0,1]\rightarrow \mathbb {R} }, is bounded.[4] More generally, any continuous function from a compact space into a metric space is bounded.[citation needed ]
  • All complex-valued functions f : C C {\displaystyle f:\mathbb {C} \rightarrow \mathbb {C} } {\displaystyle f:\mathbb {C} \rightarrow \mathbb {C} } which are entire are either unbounded or constant as a consequence of Liouville's theorem.[5] In particular, the complex sin : C C {\displaystyle \sin :\mathbb {C} \rightarrow \mathbb {C} } {\displaystyle \sin :\mathbb {C} \rightarrow \mathbb {C} } must be unbounded since it is entire.[citation needed ]
  • The function f {\displaystyle f} {\displaystyle f} which takes the value 0 for x {\displaystyle x} {\displaystyle x} rational number and 1 for x {\displaystyle x} {\displaystyle 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 ] {\displaystyle [0,1]} {\displaystyle [0,1]} is much larger than the set of continuous functions on that interval.[citation needed ] Moreover, continuous functions need not be bounded; for example, the functions g : R 2 R {\displaystyle g:\mathbb {R} ^{2}\to \mathbb {R} } {\displaystyle g:\mathbb {R} ^{2}\to \mathbb {R} } and h : ( 0 , 1 ) 2 R {\displaystyle h:(0,1)^{2}\to \mathbb {R} } {\displaystyle h:(0,1)^{2}\to \mathbb {R} } defined by g ( x , y ) := x + y {\displaystyle g(x,y):=x+y} {\displaystyle g(x,y):=x+y} and h ( x , y ) := 1 x + y {\displaystyle h(x,y):={\frac {1}{x+y}}} {\displaystyle h(x,y):={\frac {1}{x+y}}} are both continuous, but neither is bounded.[6] (However, a continuous function must be bounded if its domain is both closed and bounded.[6] )

See also

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References

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  1. ^ a b c Jeffrey, Alan (1996年06月13日). Mathematics for Engineers and Scientists, 5th Edition. CRC Press. ISBN 978-0-412-62150-5.
  2. ^ "The Sine and Cosine Functions" (PDF). math.dartmouth.edu. Archived (PDF) from the original on 2 February 2013. Retrieved 1 September 2021.
  3. ^ Polyanin, Andrei D.; Chernoutsan, Alexei (2010年10月18日). A Concise Handbook of Mathematics, Physics, and Engineering Sciences. CRC Press. ISBN 978-1-4398-0640-1.
  4. ^ Weisstein, Eric W. "Extreme Value Theorem". mathworld.wolfram.com. Retrieved 2021年09月01日.
  5. ^ "Liouville theorems - Encyclopedia of Mathematics". encyclopediaofmath.org. Retrieved 2021年09月01日.
  6. ^ a b Ghorpade, Sudhir R.; Limaye, Balmohan V. (2010年03月20日). A Course in Multivariable Calculus and Analysis. Springer Science & Business Media. p. 56. ISBN 978-1-4419-1621-1.
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