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The maximum of \( f = xy \) subject to \( x + y = 10 \) is

  • A.\( 100 \)
  • B.\( 50 \)
  • C.\( 10 \)
  • D.\( 25 \)

Answer: D

With \( \nabla f = \lambda \nabla g \) we get \( y = \lambda \) and \( x = \lambda \), so \( x = y \). The constraint then gives \( x = y = 5 \) and

\[ f_{\max} \;=\; xy \;=\; 5 \times 5 \;=\; 25. \]

Substituting \( y = 10 - x \) and maximising \( 10x - x^{2} \) confirms the same vertex, so a fixed perimeter is enclosed most efficiently by the square

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