mit opencourseware ocw.mit 18.01 single variable calculus fall 2006
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MIT OpenCourseWare http://ocw.mit.edu 18.01 Single Variable Calculus Fall 2006 For information about citingthese materials or our Terms of Use, visit: http://ocw.mit.edu/terms. Lecture 4 ChainRule , and Higher Derivatives. Chain Rule. - PowerPoint PPT PresentationTRANSCRIPT
Lecture 4 Sept. 14, 2006 18.01 Fall 2006 1
MIT OpenCourseWarehttp://ocw.mit.edu18.01 Single Variable CalculusFall 2006For information about citingthese materials or our Terms of Use, visit: http://ocw.mit.edu/terms.
Lecture 4 Sept. 14, 2006 18.01 Fall 2006 2
Chain Rule
Higher Derivatives
* Lecture 4ChainRule, and Higher Derivatives
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We’ve got general procedures for differentiating expressions with addition, subtraction, and multiplication. What about composition?
Example 1.
* Chain Rule
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So, . To find , write
* Chain Rule
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As too, because of continuity. So we get:
In the example,
So,
* Chain Rule
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Another notation for the chain rule
(or )
Example 1. (continued) Composition of functions .
Note: Not Commutative!
* Chain Rule
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* Chain Rule
Figure 1: Composition of functions: (f ⃘g)(x)=(g(x))
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Example 2.
Let
* Chain Rule
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Example 3.
There are two ways to proceed.
* Chain Rule
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Higher derivatives are derivatives of derivatives. For instance, if , then is the second
derivative of f. We write
Notations
* Higher Derivatives
Higher derivatives are pretty straightforward just keep taking the ⇁derivative!
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Example.
Start small and look for a pattern.
The notation n! is called “n factorial” and defined by
* Higher Derivatives
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Proof by Induction: We’ve already checked the base case (n = 1).
Induction step: Suppose we know Show it holds for the case.
Proved!
* Higher Derivatives