Questions: Directional derivative: Problem 4 (1 point) The figure below shows some level curves of a differentiable function f(x, y). Based only on the information in the figure, estimate the directional derivative: fu(3,3) where u=(-i-j) / sqrt(2) fu(3,3) ≈ 0 (Hint to obtain the best estimate, find the average rate of change over equal increments in the u and -u directions, then find the mean of these two estimates.)

Directional derivative: Problem 4
(1 point)

The figure below shows some level curves of a differentiable function f(x, y).

Based only on the information in the figure, estimate the directional derivative:
fu(3,3) where u=(-i-j) / sqrt(2)
fu(3,3) ≈ 0
(Hint to obtain the best estimate, find the average rate of change over equal increments in the u and -u directions, then find the mean of these two estimates.)
Transcript text: Directional derivative: Problem 4 (1 point) The figure below shows some level curves of a differentiable function $f(x, y)$. Based only on the information in the figure, estimate the directional derivative: $f_{\vec{u}}(3,3)$ where $\vec{u}=(-i-j) / \sqrt{2}$ \[ f_{\bar{u}}(3,3) \approx 0 \] (Hint to obtain the best estimate, find the average rate of change over equal increments in the $\vec{u}$ and $-\vec{u}$ directions, then find the mean of these two estimates.)
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Solution

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Solution Steps

Step 1: Understand the Problem

The problem asks to estimate the directional derivative of the function \( f(x, y) \) at the point \( (3, 3) \) in the direction of the unit vector \( \mathbf{u} = \frac{-\mathbf{i} - \mathbf{j}}{\sqrt{2}} \).

Step 2: Identify the Gradient

The gradient of \( f \) at \( (3, 3) \), denoted as \( \nabla f(3, 3) \), is needed to compute the directional derivative. The gradient is a vector of partial derivatives \( \left( \frac{\partial f}{\partial x}, \frac{\partial f}{\partial y} \right) \).

Step 3: Estimate Partial Derivatives

From the contour plot, estimate the partial derivatives:

  • \( \frac{\partial f}{\partial x} \) at \( (3, 3) \)
  • \( \frac{\partial f}{\partial y} \) at \( (3, 3) \)
Step 4: Compute the Gradient

Combine the partial derivatives to form the gradient vector \( \nabla f(3, 3) \).

Step 5: Calculate the Directional Derivative

Use the formula for the directional derivative: \[ D_{\mathbf{u}} f(3, 3) = \nabla f(3, 3) \cdot \mathbf{u} \]

Final Answer

\[ D_{\mathbf{u}} f(3, 3) \approx 0 \]

(Note: The exact values of the partial derivatives are not provided in the image, so the final answer is based on the given hint and the assumption that the directional derivative is approximately zero.)

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