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MA 242.003 Day 34- February 22, 2013 Review for test #2 Chapter 11: Differential Multivariable Calculus.

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Presentation on theme: "MA 242.003 Day 34- February 22, 2013 Review for test #2 Chapter 11: Differential Multivariable Calculus."— Presentation transcript:

1 MA 242.003 Day 34- February 22, 2013 Review for test #2 Chapter 11: Differential Multivariable Calculus

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4 Paraboloids

5 Ellipsoids

6 Cones

7 Planes

8 Cylinders

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10 The Idea: Describe f(x,y,z) by finding the surfaces on which it takes constant values.

11 Example:

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14 Section 11.2: Limits and Continuity

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17 Types of functions we will study: 1. Polynomials: 2. Rational functions: 3. Compound functions:

18 Types of functions we will study: 1. Polynomials: Continuous everywhere 2. Rational functions: 3. Compound functions:

19 Types of functions we will study: 1. Polynomials: Continuous everywhere 2. Rational functions: Continuous where defined 3. Compound functions:

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21 Summary: Section 11.2 In future work you will be required to be able to determine whether or not a function is continuous at a point.

22 Section 11.3: Partial Derivatives

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29 Geometrical interpretation of Partial Derivatives

30 There is a similar interpretation of partial derivatives.

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33 Section 11.4: Tangent planes and linear approximations or On the differentiability of multivariable functions

34 The generalization of tangent line to a curve

35 Is tangent plane to a surface

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37 Theorem: When f(x,y) has continuous partial derivatives at (a,b) then the equation for the tangent plane to the graph z = f(x,y) is

38 at P = (1,2,4)

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43 (continuation of example)

44 Section 11.5 THE CHAIN RULE

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47 Example:

48 Section 11.6 Directional Derivatives and the Gradient Vector

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50 We need a practical way to compute this!

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54 Question: Can the right-hand-side be written as a DOT PRODUCT?

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61 Tangent planes to level surfaces

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67 Significance of the Gradient Vector

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72 Section 11.7: OPTIMIZATION As an application of our work in chapter 11, we set up the theory of how to find the local maximum and minimum values of f(x,y)

73 Section 11.7: OPTIMIZATION As an application of our work in chapter 11, we set up the theory of how to find the local maximum and minimum values of f(x,y)

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79 So to find the local maxima and minima of a differentiable f(x,y) do the following:

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82 (Continuation of example)

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