- Be able to compute a gradient vector, and use it to compute a directional derivative of a given function in a given direction.
- Be able to use the fact that the gradient of a function is perpendicular (normal) to the level curves and that it points in the direction in which is increasing most rapidly.
this
If , then is
Notice: is a vector-valued function, specifically one with a two-dimensional input and a two-dimensional output.
Directional Derivative
Say that the direction vector of interest is . Take the dot product between and the unit vector in the direction of , which should give:
Webwork 5 Problem 8
Max rate of change is
We find the (unit) direction vector in which the maximum rate of change occurs at P by normalizing the gradient vector
Webwork 5 Problem 9 Here’s the question with proper LaTeX markdown:
Find the directional derivative of at the point in the direction .
The directional derivative is:
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