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Chapter 17 Multivariable Calculus.

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Presentation on theme: "Chapter 17 Multivariable Calculus."— Presentation transcript:

1 Chapter 17 Multivariable Calculus

2 Chapter Outline Partial Derivatives
Chapter 17: Multivariable Calculus Chapter Outline Partial Derivatives Applications of Partial Derivatives Implicit Partial Differentiation Higher-Order Partial Derivatives Chain Rule Maxima and Minima for Functions of Two Variables 17.1) 17.2) 17.3) 17.4) 17.5) 17.6)

3 Chapter Outline Lagrange Multipliers Lines of Regression
Chapter 17: Multivariable Calculus Chapter Outline Lagrange Multipliers Lines of Regression Multiple Integrals 17.7) 17.8) 17.9)

4 => Need functions of several variables

5 Notation: Notation for derivatives at a given point (a,b):

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8 17.1 HW

9 17.1 HW

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17 17.2 HW

18 17.2 HW

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22 17.3 HW

23 17.3 HW

24 Example: Find the second partial derivatives of
f(x, y) = 3xy2 – 2y + 5x2y2, and determine the value of fxy(–1, 2). Solution: Begin by finding the first partial derivatives with respect to x and y. fx(x, y) = 3y2 + 10xy2 and fy(x, y) = 6xy – x2y Then, differentiate each of these with respect to x and y. fxx(x, y) = 10y2 and fyy(x, y) = 6x + 10x2 fxy(x, y) = 6y + 20xy and fyx(x, y) = 6y + 20xy mixed partial derivatives At (–1, 2) the value of fxy is fxy(–1, 2) = 12 – 40 = –28. For continuous mixed partial derivatives order of the differentiation does NOT matter!!!

25 Example – Finding Higher-Order Partial Derivatives
Show that fxz = fzx and fxzz = fzxz = fzzx for the function given by f(x, y, z) = yex + x ln z. Solution: First partials: Second partials (note that the first two are equal): Third partials (note that all three are equal):

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27 17.4 HW

28 17.4 HW

29 Chain rule for a function of one variable:

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34 17.5 HW

35 17.5 HW

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42 Economics Applications

43 Note that oftentimes when you get only one critical point in a practical problem, it is clear from the set-up that it is desired min/max and we do not have to do 2nd derivative test to confirm.

44 FYI Shows how partial derivatives are used in a theoretical argument! -- main point

45 17.6 HW

46 17.6 HW

47 Thus, relative min is at (-1,2)
-- this is approach of the previous section! Thus, relative min is at (-1,2)

48 Different approach is Lagrange Multipliers:

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52 FYI

53 FYI Corresponding f = xy+yz:

54 17.7 HW

55 17.7 HW

56 Chapter 17: Multivariable Calculus
17.8 Lines of Regression


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