Compute the gradient of the following function and evaluate it at the given point \( P \), \( g(x, y)=x^{2}-8 x^{2} y-6 x y^{2} ; P(-1,3) \) The gradient is \( \nabla g(x, y)=\langle\square, \square \).
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To compute the gradient of the function \( g(x, y) = x^2 - 8x^2y - 6xy^2 \), we first need to find the partial derivatives with respect to \( x \) and \( y \). 1. Calculate the partial derivative with respect to \( x \): \[ \frac{\partial g}{\partial x} = 2x - 16xy - 6y^2 \] 2. Calculate the partial derivative with respect to \( y \): \[ \frac{\partial g}{\partial y} = -8x^2 - 12xy \] The gradient \( \nabla g(x, y) \) is given by: \[ \nabla g(x, y) = \left\langle 2x - 16xy - 6y^2, -8x^2 - 12xy \right\rangle \] Next, we evaluate this at the point \( P(-1, 3) \): 1. Substitute \( x = -1 \) and \( y = 3 \) into the first partial derivative: \[ \frac{\partial g}{\partial x} \bigg|_{(-1, 3)} = 2(-1) - 16(-1)(3) - 6(3^2) = -2 + 48 - 54 = -8 \] 2. Substitute \( x = -1 \) and \( y = 3 \) into the second partial derivative: \[ \frac{\partial g}{\partial y} \bigg|_{(-1, 3)} = -8(-1)^2 - 12(-1)(3) = -8 + 36 = 28 \] Thus, the gradient evaluated at point \( P(-1, 3) \) is: \[ \nabla g(-1, 3) = \langle -8, 28 \rangle \] So, the final answer is: \[ \nabla g(x, y) = \langle -8, 28 \rangle \]