derivatives, and the gradient

cp /math/calclab/MA1024/Pardiff_grad_start_C11.mw My_Documents

Another way to access the getting started worksheet is to go to your computer's Start menu and choose run. In the run field type:

\\filer\calclabwhen you hit enter, you can then choose MA1024 and then choose the worksheet

Pardiff_grad_start_C11.mwRemember to immediately save it in your home directory. Once you've copied and saved the worksheet, read through the background on the internet and the backgr ound of the worksheet before starting the exercises.

The Maple commands for computing partial derivatives are `D`
and `diff`. The **Getting Started** worksheet has examples
of how to use these commands to compute partial derivatives.

to compute the directional derivative. However, the following computation, based on the definition, is often simpler to use.

One way to think about this that can be helpful in understanding directional derivatives is to realize that is a straight line in the plane. The plane perpendicular to the plane that contains this straight line intersects the surface in a curve whose coordinate is . The derivative of at is the rate of change of at the point moving in the direction .

Maple doesn't have a simple command for computing directional
derivatives. There is a command in the `tensor` package that
can be used, but it is a little confusing unless you know something
about tensors. Fortunately, the method described above and the method
using the gradient described below are both easy to implement in
Maple. Examples are given in the `Getting Started` worksheet.

As described in the text, the gradient has several important properties, including the following.

- The gradient can be used to compute the directional derivative
as follows.

- The gradient points in the direction of maximum increase of the value of at .
- The gradient is perpendicular to the level curve of that passes through the point .
- The gradient can be easily generalized to apply to functions of three or more variables.

Maple has a fairly simple command `grad` in the `linalg`
package (which we used for curve computations). Examples of computing
gradients, using the gradient to compute directional derivatives, and
plotting the gradient field are all in the `Getting Started`
worksheet.

- For the function
,
- A)
- Generate a contourplot of over the domain and .
- B)
- Compute the two first order partial derivatives of at the point .
- C)
- If you were standing on the surface of at the point , would you be standing on a hill or in a valley?

- Using method 2 from the
`Getting Started`worksheet, compute the directional derivative of at the points , and in each of the directions below. What do your results suggest about the surface at these points? What is different about the zero answer for the point compared to the other two points? - Using the method from the
`Getting Started`worksheet, plot the gradient field and the contours of on the same plot over the intervals and . Use 30 contours, a grid and`fieldstrength=fixed`for the gradient plot. Describe the surface of at the points and using both the gradient field and the countour plot in your explanation.

2011-01-31