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Lagrange multipliers

Problem 10.230 · medium Video

Use Lagrange multipliers to find the maximum and minimum of \( \displaystyle f(x, y) = 3 x + 4 y \) on the circle \( \displaystyle x^2 + y^2 = 4 \).
  1. Solve ∇f = λ∇g with g(x, y) = x² + y² − r² = 0.
  2. \[ \left[\begin{matrix}\frac{\partial}{\partial x} \left(3 x + 4 y\right)\\\frac{\partial}{\partial y} \left(3 x + 4 y\right)\end{matrix}\right] = \left[\begin{matrix}3\\4\end{matrix}\right] \]
    ∇f.✓ Proved
  3. \[ \left[\begin{matrix}\frac{\partial}{\partial x} \left(x^{2} + y^{2} - 4\right)\\\frac{\partial}{\partial y} \left(x^{2} + y^{2} - 4\right)\end{matrix}\right] = \left[\begin{matrix}2 x\\2 y\end{matrix}\right] \]
    ∇g.✓ Proved
  4. So x = 3/(2λ), y = 4/(2λ); substituting into the constraint gives λ = ±√(25)/(2√4).
  5. \[ 10 \]
    The maximum; the minimum is its negative.
Answer \( \max = 10,\ \min = -10 \)
A contour map of f(x, y) = 3x + 4y: each curve joins points where f has the same value. The constraint circle of radius 2 is drawn over it; the largest and smallest values on the circle are where a level line just touches it.

Lines: 2 proved, 3 not checked. The answer was also checked a second way, without looking at the solution. The reviewers disagree about how one step is explained; every verdict is in the receipt. How we verify

The full receipt
LineStatusChecked byDetail
1Not checked—a sentence; read, not computed
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
5Not checked—both sides are the same expression: the line states a value, and the working that produced it is not on the line
answer, a second way✓ Checked independentlysympy 1.14.0 + mpmath 1.3.0f around 100,000 points of the circle tops out at the same value

Reviewers

  • gpt-oss:20b: fail (misleading) — The final sentence asserts the maximum value of 10 and the minimum as its negative without showing how these values are obtained from the Lagrange multiplier solutions. It does not compute f(x,y) at the points (x,y)=(3/2λ,4/2λ) with λ=±5/4, nor does it verify that these are indeed the extreme values. This omission could mislead a student into thinking the conclusion follows automatically from the earlier steps.
  • qwen3.6:27b-mlx: pass — The solution correctly sets up the Lagrange multiplier equations, solves for the critical points, and identifies the correct maximum and minimum values.
Every verdict on record (6)
  • qwen3.6:27b-mlx: pass 2026-10-03 — The solution correctly sets up the Lagrange multiplier equations, solves for the critical points, and identifies the correct maximum and minimum values.
  • gpt-oss:20b: fail (misleading) 2026-10-03 — The final sentence asserts the maximum value of 10 and the minimum as its negative without showing how these values are obtained from the Lagrange multiplier solutions. It does not compute f(x,y) at the points (x,y)=(3/2λ,4/2λ) with λ=±5/4, nor does it verify that these are indeed the extreme values. This omission could mislead a student into thinking the conclusion follows automatically from the earlier steps.
  • qwen3.6:27b-mlx: pass 2026-09-28 — The solution correctly applies the method of Lagrange multipliers, derives the correct critical points, and identifies the maximum and minimum values accurately.
  • gpt-oss:20b: pass 2026-09-28
  • qwen3.6:27b-mlx: pass 2026-09-28 — The solution correctly applies the method of Lagrange multipliers, derives the correct critical values, and identifies the maximum and minimum values accurately.
  • gpt-oss:20b: pass 2026-09-28

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/lagrange_multipliers, checked 2026-10-13 with SymPy 1.14.0.