Unit Five: Analytical Applications of Differentiation- essential knowledge

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Q: What does the Mean Value Theorem guarantee if a function f is continuous over [a,b] and differentiable over (a,b)?

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Q: What does the Mean Value Theorem guarantee if a function f is continuous over [a,b] and differentiable over (a,b)?

The Mean Value Theorem guarantees a point c within the open interval (a,b) where the instantaneous rate of change (the derivative) equals the average rate of change over the interval.

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2

What does the Extreme Value Theorem guarantee if a function f is continuous over the interval [a,b]?

The Extreme Value Theorem guarantees that f has at least one minimum value and at least one maximum value on [a,b]

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3

What is a critical point of a function?

A point on a function where the first derivative equals zero or fails to exist is a critical point of the function.

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4

What is a critical point of a function?

A point on a function where the first derivative equals zero or fails to exist is a critical point of the function.

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5

Where do all local (relative) extrema occur, and are all critical points local extrema?

All local (relative) extrema occur at critical points of a function, though not all critical points are local extrema.

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6

What information can the first derivative of a function provide about the function and its graph?

The first derivative can provide information about the function's intervals of increase or decrease.

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7

How can the first derivative of a function determine the location of relative (local) extrema?

Where can absolute (global) extrema of a function on a closed interval occur?

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8

Where can absolute (global) extrema of a function on a closed interval occur?

Absolute (global) extrema on a closed interval can only occur at critical points or at endpoints.

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9

How is the concavity of a function's graph determined?

The graph of a function is concave up (down) on an open interval if the function’s derivative is increasing (decreasing) on that interval.

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10

What information does the second derivative of a function provide about the function and its graph?

The second derivative provides information about intervals of upward or downward concavity.

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11

How can points of inflection be located using the second derivative?

Points of inflection can be located where the second derivative changes sign.

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12

How can the second derivative determine whether a critical point is a relative (local) maximum or minimum?

The second derivative test can determine whether a critical point is a relative (local) maximum or minimum based on the sign of the second derivative at that point.

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13

What can be concluded if a continuous function has only one critical point on an interval, and this point corresponds to a local extremum?

The critical point also corresponds to the absolute (global) extremum of the function on the interval.

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14

How can key features of functions and their derivatives be identified?

Key features of functions and their derivatives can be identified and related to their graphical, numerical, and analytical representations.

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15

How can information from f′ and f′′ be used to predict and explain the behavior of f?

Graphical, numerical, and analytical information from f′ and f′′ can be used to predict and explain the behavior of f.

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16

How are key features of the graphs of f, f′, and f′′ related?

Key features of the graphs of f, f′, and f′′ are related to one another.

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17

How can the derivative be used in optimization problems?

The derivative can be used to find the minimum or maximum values of a function on a given interval.

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18

What is the significance of minimum and maximum values of a function in applied contexts?

Minimum and maximum values of a function take on specific meanings, such as optimizing cost, efficiency, or other practical measures.

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19

What is a critical point of an implicit relation?

A point on an implicit relation where the first derivative equals zero or does not exist is a critical point of the function.

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20

How can applications of derivatives be extended to implicitly defined function

Applications of derivatives can be extended to implicitly defined functions by differentiating both sides of the equation with respect to the independent variable

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21

What are the second derivatives involving implicit differentiation?

Second derivatives involving implicit differentiation may be relations of x, y, and dy/dx

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