∫Calc Practice

Local extrema and saddle points

Problem 10.96 · easy

Find and classify the critical points of \( \displaystyle f(x, y) = x^{2} - 4 x + y^{2} - 6 y + 13 \).
  1. \[ \left[\begin{matrix}\frac{\partial}{\partial x} \left(x^{2} - 4 x + y^{2} - 6 y + 13\right)\\\frac{\partial}{\partial y} \left(x^{2} - 4 x + y^{2} - 6 y + 13\right)\end{matrix}\right] = \left[\begin{matrix}2 x - 4\\2 y - 6\end{matrix}\right] \]
    The partial derivatives.✓ Proved
  2. \[ \left[\begin{matrix}0\\0\end{matrix}\right] \]
    Both vanish at (2, 3), the only solution.✓ Proved
  3. \[ 4 \]
    D = f_xx f_yy − f_xy².✓ Proved
  4. D = 4 > 0 with f_xx > 0: a local minimum.
Answer \( \text{local minimum at } (2, 3) \)

Lines: 3 proved, 1 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
1✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
2✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
3✓ Provedsympy 1.14.0simplify(lhs - rhs) reduced to 0
4Not checked—a sentence; read, not computed
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0f on a small circle around the point is compared with its centre value

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/critical_points_2var, checked 2026-09-26 with SymPy 1.14.0.