Part 1: Partial Derivatives
Just as derivatives can be used to explore the properties of
functions of 1 variable, so also derivatives can be used to explore
functions of 2 variables. In this section, we begin that exploration by
introducing the concept of a partial derivative of a function of 2
variables.
In particular, we define the partial derivative of f(x,y) with respect to x to be
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fx( x,y) = |
lim
h® 0
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f( x+h,y)-f( x,y)
h
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when the limit exists. That is, we compute the derivative of f(x,y) as if x is the variable and all other variables are held
constant. To facilitate the computation of partial derivatives, we define
the operator
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¶
¶x
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= ``The partial derivative with respect to x¢¢ |
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Alternatively, other notations for the partial derivative of f with
respect to x are
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fx( x,y) = |
¶f
¶x
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= |
¶
¶x
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f( x,y) = ¶x f( x,y) |
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EXAMPLE 1 Evaluate fx when f( x,y) = x2y+y2.
Solution: To do so, we write
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fx( x,y) = |
¶
¶x
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(x2y+y2) = |
¶
¶x
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x2y+ |
¶
¶x
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y2 |
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and then we evaluate the derivative as if y is a constant. In particular,
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fx( x,y) = y |
¶
¶x
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x2+ |
¶
¶x
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y2 = y·2x+0 |
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That is, y factors to the front since it is considered constant with
respect to x. Likewise, y2 is considered constant with respect to x,
so that its derivative with respect to x is 0. Thus, fx(x,y) = 2xy.
Likewise, the partial derivative of f( x,y)
with respect to y is defined
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fy( x,y) = |
lim
h® 0
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f( x,y+h)-f( x,y)
h
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when the limit exists. That is, we evaluate fy as if y is varying and
all other quantities are constant. Moreover, we also define the operator
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¶
¶y
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= ¢¢The partial derivative with respect to y¢¢ |
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and we often use other notations for fy( x,y) :
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fy( x,y) = |
¶f
¶y
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= |
¶
¶y
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f( x,y) = ¶y f( x,y) |
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EXAMPLE 2 Find fx and fy when f( x,y) = ysin( xy)
Solution: To find fx, we use the chain rule
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fx = y |
¶
¶x
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sin( xy) = ycos(xy) |
¶
¶x
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xy = y2cos( xy) |
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However, to find fy, we begin with the product rule:
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fy = |
¶
¶y
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[ ysin( xy) ] = |
æ è
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¶
¶y
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y |
ö ø
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sin( xy) +y |
¶
¶y
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sin( xy) |
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We then use the chain rule to evaluate ¶ysin( xy) :
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sin( xy) +ycos( xy) |
¶
¶y
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( xy) |
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It follows immediately that fx(x,y) is the slope of the tangent line to the graph of f(x,y) in a plane that is parallel to the xz-plane.
Likewise, fy(x,y) is the slope of the tangent line in the plane parallel to the yz-plane. To illustrate, we have included the graph of f(x,y)=ysin(xy) below along with the aforementioned tangent lines.
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Drag to rotate. Drag red point to change the point of tangency.
Shift-drag to resize or to tilt z-axis. |
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The partial derivatives are equal to the slopes of the two tangent lines,
respectively.
EXAMPLE 3 Find fx and fy when
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f( x,y) = tan-1 |
æ è
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y
x
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ö ø
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Solution: To find fx, we begin with the chain rule,
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fx = |
¶
¶x
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tan-1( input) = |
1
( input) 2+1
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¶
¶x
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( input) |
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where the input is y/x. Writing the input as x-1y and substituting
then yields
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fx = |
1
( x-1y) 2+1
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¶
¶x
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( x-1y) = |
-x-2y
x-2y2+1
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To simplify this expression, we multiply the numerator and the denominator
by x2:
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fx = |
x2( -x-2y)
x2( x-2y2+1)
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= |
-x2x-2y
x2x-2y2+x2
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= |
-y
y2+x2
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To find fy, we again begin with the chain rule,
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fy = |
¶
¶y
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tan-1( input) = |
1
( input) 2+1
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¶
¶y
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( input) |
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where the input is y/x. The result is that
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fy = |
1
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¶
¶y
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æ è
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y
x
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ö ø
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= |
1
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é ë
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1
x
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¶
¶y
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( y) |
ù û
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which simplifies to
Check your Reading: What happened to the expression x2x-2 in example 3?