Chapter 5 Theorems

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Extreme Value Theorem (EVT)

  • if f is continous on a closed interval [a,b] then f has an absolute maximum and an absolute minimum on [a,b]

  • It does not say where, so end point values play no role in determining if it is true


<ul><li><p>if f is continous on a closed interval [a,b] then f has an absolute maximum and an absolute minimum on [a,b]</p></li><li><p>It does not say where, so end point values play no role in determining if it is true</p></li></ul><p></p>
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Condition for a Local Maximum or Minimum

  • if f has a local max or local min at c then f’(c) does not exist or f'(c) = 0 at that point.

  • The converse is false: ex. x³ has f’(0)=0 but no extremum at 0 does make it a candidate though (critical number)


<ul><li><p>if f has a local max or local min at c then f’(c) does not exist or f'(c) = 0 at that point.</p></li><li><p>The converse is false: ex. x³ has f’(0)=0 but no extremum at 0 does make it a candidate though (critical number)</p></li></ul><p></p>
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Fermat’s Theorem

  • f is differentiable and has a local max or min at c, then f’(c)=0


<ul><li><p>f is <strong>differentiable </strong>and has a local max or min at c, then f’(c)=0 </p></li></ul><p></p>
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Locating Absolute Extreme Values (Candidates Test)

  • If f is continuous on a closed interval [a, b], then the absolute max and min are the largest and smallest of f at the critical numbers in (a, b) and at a and b

  • Evaluate f at EVERY candidate and write the table not a sign chart


<ul><li><p>If f is continuous on a closed interval [a, b], then the absolute max and min are the largest and smallest of f at the critical numbers in (a, b) and at a and b</p></li><li><p>Evaluate f at EVERY candidate and write the table not a sign chart</p></li></ul><p></p>
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Critical Number

A number c in the domain of f where f’(c) = 0 or f’(c) does not exist.

  • A local extremum can not occur at an end point because it needs an open interval around c


<p>A number c in the domain of f where f’(c) = 0 or f’(c) does not exist. </p><ul><li><p><em>A </em><strong><em>local</em></strong><em> extremum can not occur at an end point because it needs an open interval around c</em></p></li></ul><p></p>
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Rolle’s Theorem

  • if f is continuous on [a,b], differentiable on (a,b), and f(a)=f(b), then there must be at least one c in (a,b) such that f’(c) = 0

  • All three conditions are required


<ul><li><p>if f is continuous on [a,b], differentiable on (a,b),<u> and f(a)=f(b)</u>, then there must be at least one c in (a,b) such that f’(c) = 0</p></li><li><p>All three conditions are required</p></li></ul><p></p>
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Mean Value Theorem

  • if f is continuous on [a,b] and differentiable on (a,b), then there is at least on c in (a,b) with f’(c) = slope of the secant line between a and b

  • Remember: c is the x value not the slope


<ul><li><p>if f is continuous on [a,b] and differentiable on (a,b), then there is at least on c in (a,b) with f’(c) = slope of the secant line between a and b</p></li><li><p>Remember: <em>c is the x value not the slope</em></p></li></ul><p></p>
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Corollary: Zero Derivative

  • if f is continuous on [a, b],differentiable on (a, b), and f'(x) =0 for all x in (a, b), then f is constant on (a, b)

  • this one is really just common sense


<ul><li><p>if f is continuous on [a, b],differentiable on (a, b), and f'(x) =0 for all x in (a, b), then f is constant on (a, b)</p></li><li><p>this one is really just common sense</p></li></ul><p></p>
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Corollary: Equal Derivatives

  • if f and g are differentiable on (a.b) and f’(x) = g’(x) for all x in (a,b), then f(x)=g(x) + C on (a,b)

  • this one is really just common sense


<ul><li><p>if f and g are differentiable on (a.b) and f’(x) = g’(x) for all x in (a,b), then f(x)=g(x) + C on (a,b)</p></li><li><p>this one is really just common sense</p></li></ul><p></p>
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Increasing and Decreasing Function Test

  • if f is differentiable on (a,b), with f’(x)>0 (or f’(x) < 0) on (a,b), then f is increasing (or decreasing). If f is also continous on [a,b] then this extends to [a.b]


<ul><li><p>if f is differentiable on (a,b), with f’(x)&gt;0  (or f’(x) &lt; 0) on (a,b), then f is increasing (or decreasing). If f is also continous on [a,b] then this extends to [a.b]</p></li></ul><p></p>
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First Derivative Test

  • if f is continuous on an interval I, c is a critical number, and f is differentiable on an open interval (a,b) around c (except possibly at c)

  • then f’ changes + to - at c: local max. f' changes - to + at c: local min. Same sign on both sides: neither


<ul><li><p>if f is continuous on an interval I, c is a critical number, and f is differentiable on an open interval (a,b) around c (except possibly at c)</p></li><li><p>then f’ changes + to - at c: local max. f' changes - to + at c: local min. Same sign on both sides: neither</p></li></ul><p></p>
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Test for Concavity

  • if f is continuous on [a,b], and f’ and f’’ exist on (a,b), then f’’ (x) > 0 on (a, b): concave up. f’’ (x) < 0 on (a, b): concave down

  • from the sign of f’’


<ul><li><p>if f is continuous on [a,b], and f’ and f’’ exist on (a,b), then f’’ (x) &gt; 0 on (a, b): concave up. f’’ (x) &lt; 0 on (a, b): concave down</p></li><li><p>from the sign of <strong>f’’</strong></p></li></ul><p></p>
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Condition for an Inflection Point

  • f is differentiable on an open interval containing c, and (c, f(c)) is an inflection point

  • f’’ (c) = 0 or f’’ (c) does not exist

  • Basically the critical point of the f’ graph


<ul><li><p>f is differentiable on an open interval containing c, and (c, f(c)) is an inflection point</p></li><li><p>f’’ (c) = 0 or f’’ (c) does not exist</p></li><li><p>Basically the critical point of the f’ graph</p></li></ul><p></p>
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Second Derivative Test

  • if f’ and f’’ exist on an open interval (a,b) containing c, and f’(c) = 0

  • f’’(c) < 0: local max

  • f”” (c) > 0: local min

  • If f’’ (c)= 0 or does not exist, the test gives no information. Use the First Derivative Test instead


<ul><li><p>if f’ and f’’ exist on an open interval (a,b) containing c, and f’(c) = 0</p></li><li><p>f’’(c) &lt; 0: local max</p></li><li><p>f”” (c) &gt; 0: local min </p></li><li><p>If f’’ (c)= 0 or does not exist, the test gives no information. Use the First Derivative Test instead</p></li></ul><p></p>