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Explore differentiation principles, gradients, rates of change, and implicit differentiation techniques. Practice problems included. Learn how to find derivatives using first principles and handle implicit functions effectively.
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Differentiation First Principles & Implicit Differentiation
First Principles • What is differentiation? • Gradients • Rates of Change • First Principles
Gradient Not that great.
Gradient Better.
Gradient Even better again.
Gradient • A shorter ‘’ is a better estimate of gradient • What is the best ‘’? • 0, of course! • However, that’s a problem – we can’t divide by zero! • Time to cheat
First Principles • We start with the curve , and our of • The is the change in over the duration of the • This means we have • To make , we write (using limits)
Example 1 We know the answer will be • Find the derivative of using first principles.
Example 2 We need the identity • Find the derivative of using first principles.
Practice • Delta Workbook • Exercise 5.7, page 77 • Workbook • Pages 15-20
Implicit Differentiation • We know that a function like becomes • So the becomes when we differentiate • If the is in the middle of the equation, is this still true? • Yes!
Example 1 This equation is the same as • Differentiate implicitly:
Implicit Differentiation • What if we have more than one , e.g. ? • We can use the chain rule!
Example 2 This is really horrible to rearrange – use implicit differentiation! • Differentiate • There is still a in the answer – this is allowed!
Practice • Delta Workbook • Exercise 13.1, page 139 • Workbook • Pages 27-31, 32-35 (harder)
Do Now • Any Questions? • Delta Workbook • Exercises 5.7, 13.1 • Workbook • Pages 15-20, 27-35
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. Aaron Stockdill 2016