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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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Paraboloids
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Ellipsoids
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Cones
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Planes
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Cylinders
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The Idea: Describe f(x,y,z) by finding the surfaces on which it takes constant values.
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Example:
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Section 11.2: Limits and Continuity
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Types of functions we will study: 1. Polynomials: 2. Rational functions: 3. Compound functions:
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Types of functions we will study: 1. Polynomials: Continuous everywhere 2. Rational functions: 3. Compound functions:
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Types of functions we will study: 1. Polynomials: Continuous everywhere 2. Rational functions: Continuous where defined 3. Compound functions:
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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.
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Section 11.3: Partial Derivatives
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Geometrical interpretation of Partial Derivatives
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There is a similar interpretation of partial derivatives.
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Section 11.4: Tangent planes and linear approximations or On the differentiability of multivariable functions
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The generalization of tangent line to a curve
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Is tangent plane to a surface
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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
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at P = (1,2,4)
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(continuation of example)
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Section 11.5 THE CHAIN RULE
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Example:
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Section 11.6 Directional Derivatives and the Gradient Vector
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We need a practical way to compute this!
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Question: Can the right-hand-side be written as a DOT PRODUCT?
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Tangent planes to level surfaces
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Significance of the Gradient Vector
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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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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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So to find the local maxima and minima of a differentiable f(x,y) do the following:
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(Continuation of example)
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