What is the relationship between the directional derivative and the gradient vector?
The directional derivative in the direction of a vector w is equal to the dot product of w and the gradient vector ∇f. The gradient vector contains the partial derivatives of the function as its components.
Conditions
- The function is differentiable.
- The direction vector is .
- The gradient ∇f = [∂f/∂x, ∂f/∂y] exists.
Reasoning, step by step
- Identify the components of the direction vector w.
- Identify the components of the gradient vector ∇f.
- Compute the dot product of w and ∇f.
- Recognize that this dot product equals the directional derivative.
Example
The directional derivative ∇_w f can be written compactly as w·∇f.
Common misconceptions
- Confusing the gradient vector with the directional derivative.
- Thinking the dot product requires normalizing the direction vector first (the video presents the unnormalized form).
Watch the explanation
YouTubeDirectional derivative
5:25 – 6:00Watch this moment ↗
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