Glossary
Concave Down
A portion of a function's graph where the second derivative is negative, indicating that the slope of the tangent line is decreasing.
Example:
The function is always concave down because its second derivative, , is always negative.
Concave Up
A portion of a function's graph where the second derivative is positive, indicating that the slope of the tangent line is increasing.
Example:
The function is always concave up because its second derivative, , is always positive.
Concavity (Upward/Downward)
Describes the direction in which the graph of a function bends; upward concavity means it opens like a cup, downward concavity means it opens like a frown.
Example:
A graph that looks like a smile has upward concavity, while one that looks like a frown has downward concavity.
Critical Point
A point in the domain of a function where the first derivative is either zero or undefined.
Example:
For , setting gives , which are the critical points.
First Derivative
The derivative of a function, representing its instantaneous rate of change and indicating where the function is increasing or decreasing.
Example:
If models the temperature over time, then tells you how fast the temperature is changing, acting as the first derivative.
Global Extremum
The absolute maximum or minimum value of a function over its entire domain or a specified closed interval.
Example:
On the interval , the function has a global extremum at (global maximum) and (global minimum).
Inconclusive (Second Derivative Test)
A situation where the Second Derivative Test cannot determine if a critical point is a local maximum or minimum because the second derivative at that point is zero or undefined.
Example:
For , and , making the Second Derivative Test inconclusive at , requiring the First Derivative Test to classify it.
Inflection Point
A point on the graph of a function where the concavity changes, provided the function is continuous at that point.
Example:
For , the point is an inflection point because the graph changes from concave down to concave up there.
Local Maximum
A point where the function's value is greater than or equal to the values at all nearby points, often found where the function changes from increasing to decreasing.
Example:
The highest point on a hill in a landscape represents a local maximum of its elevation function.
Local Minimum
A point where the function's value is less than or equal to the values at all nearby points, often found where the function changes from decreasing to increasing.
Example:
The lowest point in a valley on a roller coaster track represents a local minimum of its height function.
Relative Extrema (Local Maximum/Minimum)
Points on a function's graph where the function reaches a peak (local maximum) or a valley (local minimum) within a specific interval.
Example:
The function has relative extrema at (local maximum) and (local minimum) within the interval .
Second Derivative
The derivative of the first derivative of a function, which provides information about the concavity of the original function.
Example:
If a car's velocity is given by , then its acceleration, , is the second derivative of its position function.
Second Derivative Test
A method that uses the sign of the second derivative at a critical point to classify it as a local maximum or local minimum.
Example:
If you find a critical point 'c' and , the Second Derivative Test tells you that 'c' corresponds to a local minimum.