∫Calc Practice

Absolute extrema on a closed interval

Problem 3.139 · hard

Find the absolute maximum and minimum values of \( \displaystyle f(x) = x^{3} - \frac{3 x^{2}}{2} - 18 x - 3 \) on \( \displaystyle [-2, 4] \).
  1. A continuous function on a closed interval has its extreme values at critical points or endpoints.
  2. \[ \frac{d}{d x} \left(x^{3} - \frac{3 x^{2}}{2} - 18 x - 3\right) = \left(x + 2\right) \left(3 x - 9\right) \]
    Differentiate and factor.✓ Proved
  3. Critical numbers inside [-2, 4]: 3.
  4. \[ \left. x^{3} - \frac{3 x^{2}}{2} - 18 x - 3 \right|_{\substack{ x=-2 }} = 19 \]
    f(-2).✓ Proved
  5. \[ \left. x^{3} - \frac{3 x^{2}}{2} - 18 x - 3 \right|_{\substack{ x=3 }} = - \frac{87}{2} \]
    f(3).✓ Proved
  6. \[ \left. x^{3} - \frac{3 x^{2}}{2} - 18 x - 3 \right|_{\substack{ x=4 }} = -35 \]
    f(4).✓ Proved
  7. The largest value is 19 and the smallest is -87/2.
Answer \( \text{max } 19 \text{ at } x=-2;\ \text{min } - \frac{87}{2} \text{ at } x=3 \)

Lines: 4 proved, 3 not checked. The answer was also checked a second way, without looking at the solution. The explanation has not been reviewed yet.

The full receipt
LineStatusChecked byDetail
1Not checked—a sentence; read, not computed
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
3Not checked—a sentence; read, not computed
4✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
5✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
6✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
7Not checked—a sentence; read, not computed
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0f sampled at 40,001 points across the interval reaches the same max and min

Proved: SymPy reduced the difference between the two sides to zero. Checked independently: a separate method, named above, confirmed it. Checked numerically: the two sides agree at every sampled point, which is evidence, not proof. Reviewed: a model or a person read it; that is all a sentence can have. Solution by generator:structured/absolute_extrema, checked 2026-09-26 with SymPy 1.14.0.