Analyzing Functions with the first derivative

Carson West

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This rundown covers using the first derivative to analyze the behavior of a function. We’ll focus on finding Critical Point, increasing/decreasing intervals, and local extrema.

1. Finding Critical Points

Critical points are points in the domain of a function where the derivative is either zero or undefined. These points are potential locations for local maxima, local minima, or neither.

To find critical points:

  1. Find the first derivative: $ f’(x) $
  2. Set the derivative equal to zero: $ f’(x) = 0 $ and solve for $ x $ . These are the critical points where the derivative is zero.
  3. Find where the derivative is undefined: Determine if there are any points in the domain of $ f(x) $ where $ f’(x) $ is undefined (e.g., division by zero, square root of a negative number). These are also critical points.

Example:

Let $ f(x) = x^3 - 3x $ . Then $ f’(x) = 3x^2 - 3 $ .

Setting $ f’(x) = 0 $ , we get $ 3x^2 - 3 = 0 $ , which gives $ x = \pm 1 $ .

$ f’(x) $ is defined for all real numbers, so there are no additional critical points where the derivative is undefined.

Therefore, the critical points are $ x = 1 $ and $ x = -1 $ .

2. Increasing and Decreasing Intervals

The first derivative tells us about the function’s increasing and decreasing behavior:

To find increasing/decreasing intervals:

  1. Find the critical points.
  2. Test intervals: Choose test points in the intervals created by the critical points. Plug these test points into $ f’(x) $ . If $ f’(x) > 0 $ , the function is increasing in that interval; if $ f’(x) < 0 $ , it’s decreasing.

Example (continuing from above):

For $ f(x) = x^3 - 3x $ , the critical points are $ x = -1 $ and $ x = 1 $ .

3. Local Extrema (Local Maxima and Minima)

First Derivative test

Local extrema occur at critical points. The first derivative test helps determine whether a Critical Point is a local maximum, local minimum, or neither:

  1. If $ f’(x) $ changes from positive to negative at a Critical Point $ c $ , then $ f(c) $ is a local maximum.
  2. If $ f’(x) $ changes from negative to positive at a Critical Point $ c $ , then $ f(c) $ is a local minimum.
  3. If $ f’(x) $ does not change sign at a Critical Point $ c $ , then $ f(c) $ is neither a local maximum nor a local minimum (it could be a saddle point).

Example (continuing from above):

y = x^3 - 3x

Second Derivative Test The second derivative test provides an alternative method to classify critical points. It’s often easier than the first derivative test but has limitations.

4. Concavity and Inflection Points