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3.2

3.2. Differentiability. Quick Review. In Exercises 1 – 5, tell whether the limit could be used to define f ‘ ( a ) (assuming that f is differentiable at a ). Quick Review. What you’ll learn about. How f’(a) Might Fail to Exist Differentiability Implies Local Linearity

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3.2

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  1. 3.2 Differentiability

  2. Quick Review In Exercises 1 – 5, tell whether the limit could be used to define f‘(a) (assuming that f is differentiable at a).

  3. Quick Review

  4. What you’ll learn about • How f’(a) Might Fail to Exist • Differentiability Implies Local Linearity • Derivatives on a Calculator • Differentiability Implies Continuity • Intermediate Value Theorem for Derivatives Essential Question How can we approximated graphs of differentiable functions by their tangent lines at points where the derivative exists.

  5. How f ΄(a) Might Fail to Exist • a corner, where the one-sided derivatives differ;

  6. How f ΄(a) Might Fail to Exist • a cusp, where the slopes of the secant lines approach ∞ from one side and approach -∞ from the other;

  7. How f ΄(a) Might Fail to Exist • a vertical tangent, where the slopes of the secant lines approach ∞ or -∞ from both sides;

  8. How f ΄(a) Might Fail to Exist • a discontinuity, which will cause one or both of the one-sided derivatives to be nonexistent;

  9. Example How f ΄(a) Might Fail to Exist • Find all the points in the domain of f (x) = |x + 3| - 1 where f is not differentiable

  10. How f ΄(a) Might Fail to Exist Most of the functions we encounter in calculus are differentiable wherever they are defined, which means they will not have corners, cusps, vertical tangent lines or points of discontinuity within their domains. Their graphs will be unbroken and smooth, with a well-defined slope at each point. Differentiability Implies Local Linearity A good way to think of differentiable functions is that they are locally linear; that is, a function that is differentiable at a closely resembles its own tangent line very close to a. In the jargon of graphing calculators, differentiable curves will “straighten out” when we zoom in on them at a point of differentiability.

  11. Differentiability Implies Local Linearity • Check the graph of the function of f (x) = xcos(3x) by zooming in to the point (2, 1.9).

  12. Derivatives on a Calculator

  13. Derivative at a Point (alternate)

  14. Example Derivatives on a Calculator • Find the numerical derivative of Derivatives on a Calculator Because of the method used internally by the calculator, you will sometimes get a derivative value at a nondifferentiable point. This is a case of where you must be “smarter” than the calculator.

  15. Example Derivatives on a Calculator • Let f (x) = ln x. Use NDER to graph f΄(x). Can you guess what function f΄(x) is by analyzing its graph?

  16. Differentiability Implies Continuity The converse of Theorem 1 is false. A continuous functions might have a corner, a cusp or a vertical tangent line, and hence not be differentiable at a given point. Not every function can be a derivative. Intermediate Value Theorem for Derivatives

  17. Differentiability Implies Continuity • Does any function have the following graph as its derivative?

  18. Pg. 92, 2.4 #2-40 even

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