Unit 5: Analytical Applications of Differentiation
The First Derivative Test
Finding critical points and classifying local extrema using the first derivative.
Where a Graph Turns, According to Its Slope
A function's graph turns from rising to falling, or falling to rising, exactly where its instantaneous rate of change crosses zero — or fails to exist. Before reading on: if you found every x where f'(x) = 0 or is undefined, how would you tell which of those points are peaks, which are valleys, and which are neither?
Definition — Critical Point and the First Derivative Test
Worked Example — Classifying Critical Points with a Sign Analysis
Worked Example — A Critical Point That Isn't an Extremum
Derivative Explorer
Point of tangency
f(x), with tangent line at x = a
Derivative graph — linked to the graph above; panning or zooming either moves both
What's happening at x = a
- At x = 1, f(x) ≈ -2 — the point (1, -2).
- The derivative there is f'(1) ≈ 0: the slope of the tangent line, and the instantaneous rate of change of f at this exact point.
- That slope is positive, so f is increasing at this point.
- The second derivative is positive here, so f is concave up (curving upward) near this point.
- Near x = 1, the tangent line y ≈ -2 + 0·(x − 1) is f's best straight-line approximation — the core idea a derivative captures.
Numerical derivative comparison
| h | Forward | Backward | Central |
|---|---|---|---|
| 1 | 4 | -2 | 1 |
| 0.1 | 0.31 | -0.29 | 0.01 |
| 0.01 | 0.0301 | -0.0299 | 0.0001 |
| 0.001 | 0.003 | -0.003 | 0 |
Analysis of f(x)
- y-intercept
- (0, 0)
- x-intercepts
- (-1.73, 0), (0, 0), (1.73, 0)
- Extrema
- local max at (-1, 2); local min at (1, -2)
- Inflection points
- (0, 0)
- Vertical asymptotes
- none found in view
- Horizontal asymptotes
- none found
- Domain
- all real numbers in view
- Range (estimated)
- approximately [-970, 970]
Analysis of f'(x) — its roots are f's critical points
- y-intercept
- (0, -3)
- x-intercepts
- (-1, 0), (1, 0)
- Extrema
- local min at (0, -3)
- Inflection points
- none found in view
- Vertical asymptotes
- none found in view
- Horizontal asymptotes
- none found
- Domain
- all real numbers in view
- Range (estimated)
- approximately [-3, 297]
Tip
Common Mistakes
Assuming every solution of f'(c) = 0 is automatically a local extremum.
f'(c) = 0 only makes c a critical point, a candidate — f(x) = x³ at x = 0 shows a critical point where the derivative doesn't actually change sign, so it's neither a max nor a min.
Forgetting to check where f'(x) is undefined, and only solving f'(x) = 0.
A critical point can also occur where f' fails to exist (a corner or vertical tangent in f, for instance) — both cases have to be checked, not just the zeros of f'.
Key Takeaways
- A critical point occurs where f'(c) = 0 or f'(c) is undefined, and is only a candidate for a local extremum, not a guarantee.
- The first derivative test classifies a critical point by whether f' changes from positive to negative (local max), negative to positive (local min), or doesn't change sign (neither).
- A sign analysis needs only one test value per interval between consecutive critical points, since f' can't change sign without crossing zero or an undefined point.
Summary
The first derivative test reads a graph's shape from f'. The next lesson reads a second layer of shape — concavity — from f'', and offers a faster alternative for classifying extrema.
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