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Chapter 14 : Partial Derivatives
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            Chapter 14 : Partial Derivatives
14.1 Functions of Several Variables
14.2 Limits and Continuity
14.3 Partial Derivatives
14.4 Tangent Planes and Linear Approximations
14.5 The Chain Rule
14.6 Directional Derivatives and The Gradient Vector
14.7 Maximum and Minimum Values
14.8 Lagrange Multipliers
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                 14.5 The Chain Rule
Objectives :
 Learn the chain rule for functions of several variables
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Chain Rule : Case 1
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                           Example 1
If z = x2 y + 3xy 4 where x = sin 2t and y = cos t.
Find dz/dt when t = 0.
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Chain Rule : Case 2
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                          Example 2
                                                   ∂z         ∂z
If z = ex sin y where x = st2 and y = s2 t. Find   ∂s   and   ∂t
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Chain Rule : General Version
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                              Example 3
If u = x4 y + y 2 z 3 where
             x = rset ,       y = rs2 e−t ,   z = r2 s sin t
                  ∂u
find the value of    , when r = 2, s = 1, t = 0.
                  ∂s
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                             Example 4
If g(t, s) = f (s2 − t2 , t2 − s2 ) and f is differentiable.
Show that g satisfies the equation
                                ∂g    ∂g
                            t      +s    =0
                                ∂s    ∂t
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                         Example 5
If z = f (x, y) has continuous second-order partial derivatives
         2    2               ∂z     ∂2z
and x = r + s , y = 2rs. Find    and
                              ∂r     ∂r2
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                   Implicit Differentiation
If x and y are related implicitly by F (x, y) = 0.
If F is differentiable, we apply Case 1 of the Chain rule
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                             Example 6
Find y 0 if x3 + y 3 = 6xy
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                   Implicit Differentiation
If z is given implicitly as a function of x and y as F (x, y, z) = 0.
If F is differentiable and z is differentiable with respect to x
and y, we apply the Chain rule
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                                 Example 7
       ∂z         ∂z
Find   ∂x   and   ∂y   if x3 + y 3 + z 3 + 6xyz = 1
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              Keywords to remember
 The Chain Rule
 Implicit Differentiation