Section 11.
5
The Chain Rule
(1) The Chain Rule for 2-Variable Functions,
(2) The Chain Rule for Functions,
(3) Implicit Differentiation with the Chain Rule.
  MATH 127 (Section 11.5)   The Chain Rule   The University of Kansas   1 / 11
The Chain Rule
If y = f (x) and x = g (t), then the composition y = (f ◦ g )(t) = f (g (t))
is a function of t. In this case, we have the chain rule for differentiation
                                                              dy   dy dx
                y 0 (t) = f 0 (g (t))g 0 (t)          or         =
                                                              dt   dx dt
We will now discuss the chain rule for functions of more variables.
Suppose that z = f (x, y ), x = x(t), and y = y (t) are differentiable
functions. Then z = f (x(t), y (t)) is a differentiable function of t and
                                  dz   ∂z dx   ∂z dy
                                     =       +
                                  dt   ∂x dt   ∂y dt
                    dz
                       = fx (x(t), y (t))x 0 (t) + fy (x(t), y (t))y 0 (t)
                    dt
   MATH 127 (Section 11.5)                 The Chain Rule          The University of Kansas   2 / 11
The Chain Rule (Case I)
Suppose that z = f (x, y ), x = x(t), and y = y (t) are differentiable
functions. Then z = f (x(t), y (t)) is a differentiable function of t and
dz     ∂z dx   ∂z dy
    =        +        .
 dt    ∂x dt   ∂y dt
The derivative of z with respect to t can be calculated as
                dz       f (x(t + ∆t), y (t + ∆t)) − f (x(t), y (t))
                   = lim
                dt  ∆t→0                     ∆t
Note that ∆x → 0 and ∆y → 0 as ∆t → 0 because x and y are
differentiable, hence continuous, functions of t.
    f (x + ∆x, y + ∆y ) − f (x, y + ∆y ) ∆x   f (x, y + ∆y ) − f (x, y ) ∆y
=                                           +
                   ∆x                    ∆t             ∆y               ∆t
Letting ∆t → 0, we have
          dz                                             dz   ∂z dx   ∂z dy
             = fx (x, y ) x 0 (t) + fy (x, y ) y 0 (t) =    =       +
          dt                                             dt   ∂x dt   ∂y dt
    MATH 127 (Section 11.5)          The Chain Rule          The University of Kansas   3 / 11
Example
                                                          dz
If z = yx e xy , x = ln(t), and y = sin(t), find             when t = π2 .
                                                          dt
Solution: The Chain Rule states that
               dz     ∂z dx     ∂z dy
                    =        +
               dt     ∂x
                         dt    ∂y   dt                                    
                        1 xy      xy    1    −x xy                   x 2 xy
                    =   ye   + xe       t + y2 e   +                 y e          cos(t)
           π                    π                         π
                                                             
For t =    2   we have x = ln   2       and y = sin       2       = 1. Thus,
                                    
                                dz              π 
                                         = 1 + ln
                                dt t= π           2
                                         2
   MATH 127 (Section 11.5)               The Chain Rule                 The University of Kansas   4 / 11
Suppose z = f (x, y ) and let x = g (s, t) and y = h(s, t) be differentiable
2-variable functions in s and t. Then z = f (x, y ) can be viewed as a
function of s and t which is differentiable.
That is, z = f (g (s, t), h(s, t)) and
              ∂z   ∂z ∂x   ∂z ∂y                   ∂z   ∂z ∂x   ∂z ∂y
                 =       +                            =       +
              ∂s   ∂x ∂s   ∂y ∂s                   ∂t   ∂x ∂t   ∂y ∂t
         ∂z
            = fx (g (s, t), h(s, t)) gs (s, t) + fy (g (s, t), h(s, t)) hs (s, t)
         ∂s
         ∂z
            = fx (g (s, t), h(s, t)) gt (s, t) + fy (g (s, t), h(s, t)) ht (s, t)
         ∂t
   MATH 127 (Section 11.5)             The Chain Rule            The University of Kansas   5 / 11
                                                                ∂z     ∂z
If z = x 2 y + 2xy 4 , x = st 2 , and y = s 2 t. Find              and    .
                                                                ∂s     ∂t
Solution:
                 ∂z           ∂z ∂x   ∂z ∂y
                        =           +
                 ∂s           ∂x ∂s   ∂y ∂s
                        = (2xy + 2y 4 )(t 2 ) + (x 2 + 8xy 3 )(2st)
                        = (2s 3 t 3 + 2s 8 t 4 )(t 2 ) + (s 2 t 4 + 8s 7 t 5 )(2st)
                 ∂z           ∂z ∂x   ∂z ∂y
                        =           +
                 ∂t           ∂x ∂t   ∂y ∂t
                        = (2xy + 2y 4 )(2st) + (x 2 + 8xy 3 )(s 2 )
                        = (2s 3 t 3 + 2s 8 t 4 )(2st) + (s 2 t 4 + 8s 7 t 5 )(t 2 )
In general, if z = f (x1 , x2 , . . . , xn ), x1 = g1 (t1 , t2 , . . . , tm ), . . . ,
xn = gn (t1 , t2 , . . . , tm ).
                      ∂z    ∂f ∂x1    ∂f ∂f           ∂f ∂xn
                          =         +         + ... +
                      ∂tj   ∂x1 ∂tj   ∂x2 ∂tj         ∂xn ∂tj
    MATH 127 (Section 11.5)                 The Chain Rule               The University of Kansas   6 / 11
Implicit Differentiation
                                                       dy      Fx (x, y )
If y = y (x) is defined implicitly by F (x, y ) = 0, then  =−             .
                                                       dx      Fy (x, y )
Take the derivative with respect to x through F (x, y (x)) = 0 to get
                           dy
Fx (x, y )(1) + Fy (x, y )    = 0.
                           dx
                   dy
Example: Find          if x 3 + y 3 − 6xy = 0.
                   dx
Solution: F (x, y ) = x 3 + y 3 − 6xy .
                 Fx (x, y ) = 3x 2 − 6y              Fy (x, y ) = 3y 2 − 6x
       dy    Fx (x, y )   x 2 − 2y
Thus      =−            =− 2
       dx    Fy (x, y )   y − 2x
If z = z(x, y ) is defined implicitly by F (x, y , z) = 0 then
                   ∂z    Fx (x, y , z)                    ∂z    Fy (x, y , z)
                      =−                                     =−
                   ∂x    Fz (x, y , z)                    ∂y    Fz (x, y , z)
   MATH 127 (Section 11.5)               The Chain Rule               The University of Kansas   7 / 11
Suppose the equation implicitly defines a function xz 2 + y 2 z + xy = 1
where z depends upon x and y , z = z(x, y ). Find the partial derivatives
implicitly.
Solution: Let F (x, y , z) = xz 2 + y 2 z + xy − 1,
Fx (x, y , z) = z 2 +y           Fy (x, y , z) = 2yz +x     Fz (x, y , z) = 2zx +y 2
                             ∂z    Fx (x, y , z)     z2 + y
                                =−               =−
                             ∂x    Fz (x, y , z)    2zx + y 2
                             ∂z    Fy (x, y , z)    2yz + x
                                =−               =−
                             ∂y    Fz (x, y , z)    2zx + y 2
   MATH 127 (Section 11.5)              The Chain Rule          The University of Kansas   8 / 11
A baseball player hits the ball and then runs
down the first base at 20 ft/s. The first
baseman fields the ball and then runs towards
first base along the second base line at 18/, ft/s.
Determine how fast the distance between the
two-players is changing at a moment when the
hitter is 8 ft from first base and the baseman is
6 ft from first base.
The distance D between the runner, who is R ft from first, and the
baseman, who is B ft from first, is implicitly described by D 2 = R 2 + B 2 .
Both variables depend upon time t, B = B(t) and R = R(t).
     ∂D     R                ∂D   B                    dB              dR
         =        ,             =            ,            = −18 ,         = −20
     ∂R     D                ∂B   D                    dt              dt
 Using the chain rule,
  dD   ∂D dR   ∂D dB   6       8         132
     =       +       = (−20) + (−18) = −     = −26.4 ft/s
  dt   ∂R dT   ∂B dt  10      10          5
   MATH 127 (Section 11.5)            The Chain Rule           The University of Kansas   9 / 11