Here are the essential concepts you must grasp in order to answer the question correctly.
Critical Points
Critical points of a function occur where its derivative is either zero or undefined. These points are essential for identifying local extrema, as they represent potential locations where the function's behavior changes. To find critical points, one must first compute the derivative of the function and solve for values of x that satisfy the condition f'(x) = 0 or where f'(x) does not exist.
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First Derivative Test
The First Derivative Test is a method used to determine whether a critical point is a local maximum, local minimum, or neither. By analyzing the sign of the derivative before and after the critical point, one can conclude that if the derivative changes from positive to negative, the point is a local maximum; if it changes from negative to positive, it is a local minimum. This test provides insight into the function's increasing and decreasing behavior around critical points.
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The First Derivative Test: Finding Local Extrema
Absolute Maximum and Minimum
The absolute maximum and minimum values of a function on a given interval are the highest and lowest values that the function attains within that interval. To find these values, one must evaluate the function at its critical points and at the endpoints of the interval. The largest and smallest of these values will determine the absolute extrema, which are crucial for understanding the overall behavior of the function within the specified range.
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Finding Extrema Graphically Example 4