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SECTION 11.5

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61 diapositives · 899 Views · Aug 30, 2014

SECTION 11.5. THE CHAIN RULE. THE CHAIN RULE. Recall that the Chain Rule for functions of a single variable gives the following rule for differentiating a composite function.

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SECTION 11.5
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  1. SECTION 11.5 THE CHAIN RULE

  2. THE CHAIN RULE • Recall that the Chain Rule for functions of a single variable gives the following rule for differentiating a composite function. • If y =f(x) and x = g(t), where f and g are differentiable functions, then y is indirectly a differentiable function of t, and 11.5

  3. THE CHAIN RULE • For functions of more than one variable, the Chain Rule has several versions. • Each gives a rule for differentiating a composite function. 11.5

  4. THE CHAIN RULE • The first version (Theorem 2) deals with the case where z =f(x, y) and each of the variables x and y is, in turn, a function of a variable t. • This means that z is indirectly a function of t, z =f(g(t), h(t)), and the Chain Rule gives a formula for differentiating z as a function of t. 11.5

  5. THE CHAIN RULE • We assume that f is differentiable (Definition 7 in Section 11.4). • Recall that this is the case when fx and fy are continuous (Theorem 8 in Section 11.4). 11.5

  6. THE CHAIN RULE (CASE 1) Suppose that z =f(x, y) is a differentiable function of x and y, where x = g(t) and y = h(t) are both differentiable functions of t. Then, z is a differentiable function of t and 11.5

  7. THE CHAIN RULE (CASE 1) PROOF • A change of ∆t in t produces changes of ∆x in x and ∆y in y. • These, in turn, produce a change of ∆z in z. 11.5

  8. THE CHAIN RULE (CASE 1) PROOF • Then, from Definition 7 in Section 11.4, we have:where e1 → 0 and e2 → 0 as (∆x, ∆y) → (0,0). • If the functions e1 and e2 are not defined at (0, 0), we can define them to be 0 there. 11.5

  9. THE CHAIN RULE (CASE 1) PROOF • Dividing both sides of this equation by ∆t, we have: 11.5

  10. THE CHAIN RULE (CASE 1) PROOF • If we now let ∆t → 0 , then ∆x = g(t + ∆t) –g(t) → 0as g is differentiable and thus continuous. • Similarly, ∆y → 0. • This, in turn, means that e1→ 0 and e2→ 0. 11.5

  11. THE CHAIN RULE (CASE 1) PROOF • Thus, 11.5

  12. THE CHAIN RULE (CASE 1) • Since we often write ∂z/∂x in place of ∂f/∂x, we can rewrite the Chain Rule in the form 11.5

  13. Example 1 • If z =x2y + 3xy4, where x = sin 2t and y = cos t, find dz/dt when t = 0. • SOLUTION • The Chain Rule gives: 11.5

  14. Example 1 SOLUTION • It’s not necessary to substitute the expressions for x and y in terms of t. • We simply observe that, when t = 0, we have x = sin 0 = 0 and y = cos 0 = 1. • Thus, 11.5

  15. THE CHAIN RULE (CASE 1) • The derivative in Example 1 can be interpreted as: • The rate of change of z with respect to t as the point (x, y) moves along the curve C with parametric equations x = sin 2t, y = cos t. 11.5

  16. THE CHAIN RULE (CASE 1) • In particular, when t = 0, • The point (x, y) is (0, 1). • dz/dt = 6 is the rate of increase as we move along the curve Cthrough (0, 1). 11.5

  17. THE CHAIN RULE (CASE 1) • If, for instance, z =T(x, y) = x2y + 3xy4 represents the temperature at the point (x, y), then • The composite function z =T(sin 2t, cos t) represents the temperature at points on C. • The derivative dz/dt represents the rate at which the temperature changes along C. 11.5

  18. Example 2 • The pressure P (in kilopascals), volume V (in liters), and temperature T (in kelvins) of a mole of an ideal gas are related by the equation PV = 8.31T • Find the rate at which the pressure is changing when: • The temperature is 300 K and increasing at a rate of 0.1 K/s. • The volume is 100 L and increasing at a rate of 0.2 L/s. 11.5

  19. Example 2 SOLUTION • If t represents the time elapsed in seconds, then, at the given instant, we have: • T = 300 • dT/dt = 0.1 • V = 100 • dV/dt = 0.2 11.5

  20. Example 2 SOLUTION • Since , the Chain Rule gives: • The pressure is decreasing at about 0.042 kPa/s. 11.5

  21. THE CHAIN RULE (CASE 1) • We now consider the situation where z =f(x, y), but each of x and y is a function of two variables s and t: x = g(s, t), y =h(s, t). • Then, z is indirectly a function of s and t,and we wish to find ∂z/∂s and ∂z/∂t. 11.5

  22. THE CHAIN RULE (CASE 1) • Recall that, in computing ∂z/∂t, we hold s fixed and compute the ordinary derivative of z with respect to t. • So, we can apply Theorem 2 to obtain: • A similar argument holds for ∂z/∂s. • So,we have proved the following version of the Chain Rule. 11.5

  23. THE CHAIN RULE (CASE 2) Suppose z =f(x, y) is a differentiable function of x and y, where x = g(s, t) and y = h(s, t) are differentiable functions of s and t. Then, 11.5

  24. Example 3 • If z = ex sin y, where x =st2 and y =s2t, find ∂z/∂s and ∂z/∂t. • SOLUTION • Applying Case 2 of the Chain Rule, we get the following results. 11.5

  25. Example 3 SOLUTION 11.5

  26. THE CHAIN RULE • Case 2 of the Chain Rule contains three types of variables: • s and t are independent variables. • x and y are called intermediate variables. • z is the dependent variable. • Notice that Theorem 3 has one term for each intermediate variable. • Each term resembles the one-dimensional Chain Rule in Equation 1. 11.5

  27. THE CHAIN RULE • To remember the Chain Rule, it’s helpful to draw a tree diagram in Figure 2. • We draw branches from the dependent variable z to the intermediate variables x and y to indicate that z is a function of x and y. 11.5

  28. TREE DIAGRAM • Then, we draw branches from x and y to the independent variables s and t. • On each branch, we write the corresponding partial derivative. 11.5

  29. TREE DIAGRAM • To find ∂z/∂s, we find the product of the partial derivatives along each path from z to s and then add these products: • Similarly, we find ∂z/∂t by using the paths from z to t. 11.5

  30. THE CHAIN RULE • Now, we consider the general situation in which a dependent variable u is a function of n intermediate variables x1, …, xn. • Each of this is, in turn, a function of m independent variables t1 , …, tm. • Notice that there are n terms—one for each intermediate variable. • The proof is similar to that of Case 1. 11.5

  31. THE CHAIN RULE (GENERAL VERSION) Suppose u is a differentiable function of the n variables x1, x2, …, xn and each xj is a differentiable function of the m variables t1, t2, …, tm. Then, u is a function of t1, t2, …, tmand for each i = 1, 2, …, m. 11.5

  32. Example 4 • Write out the Chain Rule for the case where w =f(x, y, z, t) and x =x(u, v), y =y(u, v), z =z(u, v), t =t(u, v) • SOLUTION • We apply Theorem 4 with n = 4 and m = 2. 11.5

  33. Example 4 SOLUTION • Figure 3 shows the tree diagram. • We haven’t written the derivatives on the branches. • However, it’s understood that, if a branch leads from y to u, the partial derivative for that branch is ∂y/∂u. 11.5

  34. Example 4 SOLUTION • With the aid of the tree diagram, we can now write the required expressions: 11.5

  35. Example 5 • If u =x4y +y2z3, where x =rset, y =rs2e–t, z =r2s sin t, find the value of ∂u/∂s when r = 2, s = 1, t = 0 11.5

  36. Example 5 SOLUTION • With the help of this tree diagram in Figure 4, we have: 11.5

  37. Example 5 SOLUTION • When r = 2, s = 1, and t = 0, we have: x = 2, y = 2, z = 0 • Thus, 11.5

  38. Example 6 • If g(s, t) = f(s2–t2, t2–s2) and f is differentiable, show that g satisfies the equation 11.5

  39. Example 6 SOLUTION • Let x =s2–t2 and y =t2–s2. • Then, g(s, t) = f(x, y), and the Chain Rule gives: 11.5

  40. Example 6 SOLUTION • Therefore, 11.5

  41. Example 7 • If z =f(x, y) has continuous second-order partial derivatives and x =r2 + s2 and y = 2rs, find (a) ∂z/∂r (b) ∂2z/∂r2 11.5

  42. Example 7(a) SOLUTION • The Chain Rule gives: 11.5

  43. Example 7(b) SOLUTION • Applying the Product Rule to the expression in part a, we get: 11.5

  44. Example 7(b) SOLUTION • However, using the Chain Rule again (See Figure 5), we have the following results. 11.5

  45. Example 7(b) SOLUTION 11.5

  46. Example 7(b) SOLUTION • Putting these expressions into Equation 5 and using the equality of the mixed second-order derivatives, we obtain the following result. 11.5

  47. Example 7 SOLUTION 11.5

  48. IMPLICIT DIFFERENTIATION • The Chain Rule can be used to give a more complete description of the process of implicit differentiation that was introduced in Sections 2.6 and 11.3. • We suppose that an equation of the form F(x, y) = 0 defines y implicitly as a differentiable function of x. • That is, y = f(x), where F(x, f(x)) = 0 for all x in the domain of f. 11.5

  49. IMPLICIT DIFFERENTIATION • If F is differentiable, we can apply Case 1 of the Chain Rule to differentiate both sides of the equation F(x, y) = 0 with respect to x. • Since both x and y are functions of x, we obtain: 11.5

  50. IMPLICIT DIFFERENTIATION • However, dx/dx = 1. • So, if ∂F/∂y ≠ 0, we solve for dy/dx and obtain: 11.5