After pinpointing critical points using the first derivative, the second derivative becomes an essential tool. The second derivative, denoted as \(f''(x)\), examines the curvature or concavity of a function.
For our function \(f(x)=6x^2-x^3\), the second derivative oversees how the graph bends:\
Suppose \(f'(x) = 12x - 3x^2\) became \(f''(x) = 12 - 6x\).
Now, the **Second Derivative Test** reveals if each critical point is a local maximum or a local minimum:
- If \(f''(x) > 0\), the curve opens upwards, indicating a local minimum.
- If \(f''(x) < 0\), the curve opens downwards, suggesting a local maximum.
- If \(f''(x) = 0\), the test is inconclusive; other methods might be needed.
In our example, at \(x = 0\), \(f''(0) = 12\) means the graph is concave up, pointing to a local minimum.
Whereas at \(x = 4\), \(f''(4) = -12\) shows the graph as concave down, highlighting a local maximum.
This test efficiently classifies the nature of each critical point, making it a powerful step in function analysis.