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Extreme value theorem
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{{About|the calculus concept|the statistical concept|Fisher–Tippett–Gnedenko theorem}} {{short description|Continuous real function on a closed interval has a maximum and a minimum}} {{More footnotes|date=June 2012}} [[Image:Extreme Value Theorem.svg|thumb|300px|A continuous function <math>f(x)</math> on the closed interval <math>[a, b]</math> showing the absolute max (red) and the absolute min (blue).]] In [[calculus]], the '''extreme value theorem''' states that if a real-valued [[Function (mathematics)|function]] <math>f</math> is [[Continuous function|continuous]] on the [[Bounded interval#Classification of intervals|closed]] and [[Bounded set|bounded]] interval <math>[a,b]</math>, then <math>f</math> must attain a [[maximum]] and a [[minimum]], each at least once. That is, there exist numbers <math>c</math> and <math>d</math> in <math>[a,b]</math> such that: <math display="block">f(c) \leq f(x) \leq f(d)\quad \forall x\in [a,b].</math> The extreme value theorem is more specific than the related '''boundedness theorem''', which states merely that a continuous function <math>f</math> on the closed interval <math>[a,b]</math> is [[Bounded function|bounded]] on that interval; that is, there exist real numbers <math>m</math> and <math>M</math> such that: <math display="block">m \le f(x) \le M\quad \forall x \in [a, b].</math> This does not say that <math>M</math> and <math>m</math> are necessarily the maximum and minimum values of <math>f</math> on the interval <math>[a,b],</math> which is what the extreme value theorem stipulates must also be the case. The extreme value theorem is used to prove [[Rolle's theorem]]. In a formulation due to [[Karl Weierstrass]], this theorem states that a continuous function from a non-empty [[compact space]] to a [[subset]] of the [[real number]]s attains a maximum and a minimum.
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