Calculus: Applications of Derivatives (Sections 5.1–5.7)

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Vocabulary flashcards covering topics from differential calculus, including the Mean Value Theorem, Extreme Value Theorem, critical points, interval testing, and extrema tests.

14 Terms

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Mean Value Theorem (MVT)

A theorem stating that if ff is continuous on [a,b][a, b] and differentiable on (a,b)(a, b), there exists at least one value cc inside (a,b)(a, b) such that f′(c)=f(b)−f(a)b−af'(c) = \frac{f(b) - f(a)}{b - a}.

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Critical Number

A value of xx in the domain of f(x)f(x) where f′(x)=0f'(x) = 0 or where f′(x)f'(x) is undefined.

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Extreme Value Theorem (EVT) Rule

A rule stating that if a function is continuous on a closed interval [a,b][a, b], it is guaranteed to have both an absolute maximum and an absolute minimum.

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Increasing Interval

An interval on which the first derivative is positive (f′(x)>0f'(x) > 0).

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Decreasing Interval

An interval on which the first derivative is negative (f′(x)<0f'(x) < 0).

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First Derivative Test (Local Max)

A test establishing a local maximum at a critical number where the sign of f′(x)f'(x) changes from positive (++, increasing) to negative (−-, decreasing).

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First Derivative Test (Local Min)

A test establishing a local minimum at a critical number where the sign of f′(x)f'(x) changes from negative (−-, decreasing) to positive (++, increasing).

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Candidates Test

A procedure used to find absolute/global extrema on a closed interval [a,b][a, b] by evaluating and comparing the original function f(x)f(x) at critical numbers inside (a,b)(a, b) and at both endpoints.

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Concave Up

A condition describing a section of a function where the second derivative is positive (f′′(x)>0f''(x) > 0).

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Concave Down

A condition describing a section of a function where the second derivative is negative (f′′(x)<0f''(x) < 0).

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Point of Inflection

A point on the graph of f(x)f(x) where f′′(x)f''(x) changes sign, provided that f(x)f(x) is continuous at that point.

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Second Derivative Test (Local Min)

A classification showing that if f′(c)=0f'(c) = 0 and f′′(c)>0f''(c) > 0, then a local minimum occurs at x=cx = c.

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Second Derivative Test (Local Max)

A classification showing that if f′(c)=0f'(c) = 0 and f′′(c)<0f''(c) < 0, then a local maximum occurs at x=cx = c.

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Second Derivative Test (Inconclusive)

The condition where f′′(c)=0f''(c) = 0, meaning the second derivative test yields no conclusion and the first derivative test must be used instead.