A stationary point is where the gradient is zero ā a max, a min, or a flat point of inflection. Set f‘(x) = 0 to find them, then use the second derivative to classify. Three steps, every time.
f'' at each x, then read off max/min/inflection from the sign.f''(x) by differentiating f‘(x) again.f''(x) < 0 ā local maximum (concave down).f''(x) > 0 ā local minimum (concave up).f''(x) = 0 ā inconclusive. Check the sign of f‘ on either side instead.Find the stationary point of y = x² ā 6x + 5 and classify it.
Find and classify the stationary points of y = x³ ā 3x² ā 9x + 5.
Find the stationary points of y = xā“ ā 4x³ and classify each.
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Read the full Stationary Points notes for the link to concavity, the proof of the second derivative test, and how stationary points appear in optimisation problems.
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