• 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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