The derivative of a function of one variable gives the slope of the
tangent line to the graph. The partial derivatives and
of a function of two variables
determine the tangent plane to
the graph.
The graph of is a surface in 3 dimensions.
Suppose we're trying to find the equation of the tangent plane at
.
To write down the equation of a plane, we need a point on the plane
and a vector perpendicular to the plane. We have a point on the
plane, namely .
To find a vector perpendicular to the plane, we find two vectors in the plane and take their cross product. To do this, look at a small piece of the surface near the point of tangency. A small piece will be nearly flat, and will look like the parallelogram depicted below:
The vectors and
which are the sides
of the parallelogram are tangent to the surface at the point of
tangency. Consider
. It runs in the x-direction. A
small change
in x produces a change in z --- the amount
the vector
"rises".
How much does z change due to a change in x? The rate of change of z with respect to x is
, so the change in z produced by changing x by
is just
.
Now is a vector with x-component
, no y-component, and z-component
. Therefore,
A similar argument shows that
The cross product is
I need any vector perpendicular to the surface. Since vectors which are multiples are parallel, I may use this vector as the perpendicular vector to the surface:
This is often referred to as the normal vector
to the surface and denoted by .
The tangent plane at is
The normal line to the surface at is the
line which passes through
and is perpendicular
to the tangent plane. The normal line is parallel to the normal
vector
. Therefore, the
parametric equations of the normal line are
Example. Find the equation of the tangent
plane and the parametric equations of the normal line to at
.
The normal vector to the surface is
Plugging in and
gives
.
The tangent plane is
The normal line is
Example. Use a tangent plane to approximate
.
The idea is to think of this as the result of plugging numbers into a
function . What is f? Well, the form of the
expression suggests that 1.99 corresponds to one of the variables and
1.01 to the other. It's natural to use the function
I want to approximate . The point
is close to
, so I'll use the tangent
plane at
to approximate f.
The normal vector is
Plug in ,
. This gives
.
When and
,
. The point of
tangency is
.
The tangent plane is
Now set ,
. This gives
. (The actual value is 1.989803.)
Here is an equivalent way to think of things that is similar to the
"approximation by differentials" technique you may have
seen in first-year calculus. The change in f produced by small changes in
in x and
in y is approximated by
Thus,
Here denotes the "nice" point (
in the last example) and
denotes the "ugly" point (
in the last example).
If you redo the example using this differential approach, you'd have
Suppose a surface is given parametrically:
Consider the vectors
These vectors are tangent to the curves in the surface
determined by letting one of u or v vary and holding the other
constant. For example, if u varies and is constant, I get the curve
The velocity vector for this curve is .
Likewise, consider the curve obtained by setting u to a constant:
The velocity vector for this curve is .
The cross product of and
is a normal vector to the surface:
Example. Find the equation of the tangent plane and the parametric equations for the normal line to
First, the point of tangency is obtained by plugging and
into x, y, and z. I get
,
, and
. The point is
.
Next,
When and
,
The normal vector is
The tangent plane is
The normal line is
Copyright 2019 by Bruce Ikenaga