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VC.03 Gradient Vectors, Level Curves, Maximums/Minimums/Saddle Points.

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Presentation on theme: "VC.03 Gradient Vectors, Level Curves, Maximums/Minimums/Saddle Points."— Presentation transcript:

1 VC.03 Gradient Vectors, Level Curves, Maximums/Minimums/Saddle Points

2 Example 1: The Gradient Vector

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4 Example 2: The Gradient Vector

5 Definition: The Gradient Vector

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7 Example 3: A Surface and Gradient Field

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10 Example 4: A Surface and Contour Plot

11 Example 4: Contour Plots in Real Life

12 Example 4: A Surface and Contour Plot

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14 Example 5: The Gradient Points in the Direction of Greatest Initial Increase

15 Example 6: A Path Along our Surface

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17 Example 6: Tangent Vectors and Gradient Vectors on Our Path

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19 The Derivative of f(x(t),y(t)) With Respect to t

20 The Chain Rule in n-Dimensions

21 Chain Rule Proves the Gradient is Perpendicular to the Level Curve

22 Example 7: Using the Chain Rule

23 Example 8: Identifying Local Extrema from the Gradient

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28 Example 9: Another Visit to Our Surface

29 Example 10: Level Surfaces and Entering the Fourth Dimension

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31 Example 11: A Different Analogy for the Fourth Dimension?

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33 z = f(x,y)w = f(x,y,z) Graph3-D surface4-D (hyper)surface Can’t truly graph it! Level SetsLevel Curve k = f(x,y) Level Surface k = f(x,y,z) Gradient Vectors2D Vectors3D Vectors Final Thoughts: f(x,y) versus f(x,y,z)


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