Explicit Functions of Several Variables

In the Local Linearization section in this tour, we described the connection between tangent planes and total derivatives of a function [Graphics:../Images/index_gr_13.gif].  The moral of that story was that we can apply the linear solution to a problem if we work at a small scale.  One thing we want to compute is the rate of climb along a surface as we change the input quantities (or input vector) [Graphics:../Images/index_gr_14.gif]  in a certain direction.

The next figure shows the planar graph of a linear function [Graphics:../Images/index_gr_15.gif], a horizontal disk through the plane and a circle of directions in the [Graphics:../Images/index_gr_16.gif]plane below the graph.  One direction of [Graphics:../Images/index_gr_17.gif]change is shown in red.  Notice that the gap between the disk and plane depends on the red direction of [Graphics:../Images/index_gr_18.gif]change. Mathematica can animate what happens as we vary the direction.  Click on the link below the graph to run the animation.

Directional Rate of Change in the Linear Case

[Graphics:../Images/index_gr_19.gif]
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Directional Rate of Change in the Nonlinear Case

The formula for the linear change in the previous linear problem is that the rate of change in direction vector [Graphics:../Images/index_gr_20.gif]  is [Graphics:../Images/index_gr_21.gif], where [Graphics:../Images/index_gr_22.gif]  is the gradient vector [Graphics:../Images/index_gr_23.gif]. Local linearization lets us use this computation for the instantenous rate of change on a smooth surface, first finding [Graphics:../Images/index_gr_24.gif]  and [Graphics:../Images/index_gr_25.gif]  as partial derivatives evaluated at the starting point.  The rate of change for a particular change vector [Graphics:../Images/index_gr_26.gif] is shown in the next figure.  Click on the link below the graph to run the Mathematica animation as we vary the direction.

[Graphics:../Images/index_gr_27.gif]

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Converted by Mathematica      May 7, 2001