Question:

The maximum value of the directional derivative of \( \varphi = x^2 yz \) at the point \( (1, 4, 1) \) is:

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The maximum directional derivative at a point is the magnitude of the gradient vector at that point.
Updated On: May 26, 2025
  • \( \sqrt{10} \)
  • \( 3 \)
  • \( 9 \)
  • \( \dfrac{10}{3} \)
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The Correct Option is C

Solution and Explanation

The maximum value of the directional derivative at a point is the magnitude of the gradient vector at that point. Given: \( \varphi = x^2 yz \) Gradient: \[ \nabla \varphi = \left( \frac{\partial \varphi}{\partial x}, \frac{\partial \varphi}{\partial y}, \frac{\partial \varphi}{\partial z} \right) = \left( 2x y z, x^2 z, x^2 y \right) \] At the point \( (1, 4, 1) \), we get: \[ \nabla \varphi = \left(2 \cdot 1 \cdot 4 \cdot 1, 1^2 \cdot 1, 1^2 \cdot 4\right) = (8, 1, 4) \] Magnitude of gradient: \[ |\nabla \varphi| = \sqrt{8^2 + 1^2 + 4^2} = \sqrt{64 + 1 + 16} = \sqrt{81} = 9 \]
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