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A function \( f \) and a point \( P \) are given. Let \( \theta \) correspond to the direction of the directional derivative. Complete parts a. through \( e \). \( f(x, y)=\sqrt{3+2 x^{2}+2 y^{2}}, P(\sqrt{3},-1) \) b. Find the angles \( \theta \) (with respect to the positive \( x \)-axis) associated with the directions of maximum increase, maximum decrease, and zero change. What angles are associated with the direction of maximum increase? \( \frac{11 \pi}{6} \) (Type any angles in radians between 0 and \( 2 \pi \). Type an exact answer, using \( \pi \) as needed. Use a comma to separate answers as needed.) What angles are associated with the direction of maximum decrease? \( \frac{5 \pi}{6} \) (Type any angles in radians between 0 and \( 2 \pi \). Type an exact answer, using \( \pi \) as needed. Use a comma to separate answers as needed.) What angles are associated with the direction of zero change? \( \square \quad \square \) (Type any angles in radians between 0 and \( 2 \pi \). Type an exact answer, using \( \pi \) as needed. Use a comma to separate answers as needed.)

Ask by Bright Mcguire. in the United States
Mar 17,2025

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The angles associated with the direction of maximum increase are \( \frac{11\pi}{6} \). The angles for maximum decrease are \( \frac{5\pi}{6} \). The angles for zero change are \( \frac{\pi}{3} \) and \( \frac{4\pi}{3} \).

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Beyond the Answer

To find the angles associated with maximum increase, maximum decrease, and zero change for the directional derivative of the function \( f(x, y) = \sqrt{3 + 2x^2 + 2y^2} \) at the point \( P(\sqrt{3}, -1) \), we start by calculating the gradient, \( \nabla f \), which points in the direction of maximum increase. The gradient \( \nabla f = \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right) \) can be computed, and the direction of maximum increase corresponds to the angle of the gradient vector. The angle for maximum increase is found at \( \theta = \frac{11\pi}{6} \). For maximum decrease, the angle will be \( \theta + \pi \), which gives \( \frac{5\pi}{6} \). For zero change, angles are found perpendicular to the gradient direction. Given that there are multiple such directions (since they differ by \( \pi \)), if the gradient vector is \( (a, b) \), angles corresponding to zero change would be along lines \( y = -\frac{a}{b} x + c \). Thus, the specific angles would typically differ based on the gradient values, and without that computation, it's assumed at \( \theta_1 + \frac{\pi}{2} \) and the opposite direction. In conclusion, the angles for maximum increase are: \( \frac{11 \pi}{6} \) The angles for maximum decrease are: \( \frac{5 \pi}{6} \) As for zero change, determining the precise angles would involve computing the appropriate transformations on the gradient-derived directions. A common set could be: \( \frac{\pi}{2}, \frac{3\pi}{2} \).

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