Coconote
AI notes
AI voice & video notes
Export note
Try for free
Understanding Product and Quotient Rules
Sep 22, 2024
Episode 17: The Product Rule and the Quotient Rule
Review of Differentiation Rules
Basic Building Block Rules
Definition of Derivative
: ( f' = \lim_{h \to 0} \frac{f(x+h) - f(x)}{h} )
Derivative of a Constant
: 0
Power Rule
: Derivative of ( x^n ) is ( nx^{n-1} ) where ( n ) is any real number
Constant Multiple Rule
: ( (c \cdot f)' = c \cdot f' ) where ( c ) is a constant
Sum and Difference Rules
: ((f \pm g)' = f' \pm g')
Chain Rule
: ( (f(g(x)))' = f'(g(x)) \cdot g'(x) )
New Differentiation Rules
Product Rule
To differentiate ( f(x) \times g(x) ), use: [ (f \cdot g)' = f , g' + g , f' ]
Remembered as: First times derivative of the second, plus second times derivative of the first.
Quotient Rule
To differentiate ( \frac{f(x)}{g(x)} ), use: [ \left( \frac{f}{g} \right)' = \frac{g , f' - f , g'}{g^2} ]
Bottom times derivative of the top, minus top times derivative of the bottom, over bottom squared.
Example Applications
Product Rule Examples
Function
: ( f(x) = x^2 + 3x - 1 ) times ( 2x^2 - x - 5 )
Use product rule to find the derivative.
Function
: ( f(t) = (3t + 1) \times \sqrt{t^3 - 5t + 9} )
Utilize product rule and chain rule for the square root function.
Quotient Rule Examples
Function
: ( y = \frac{2x - 3}{4x + 1} )
Apply quotient rule, simplify the result.
Function
: ( f(x) = \frac{(2x - 1)^3}{(5x^2 + 7)^4} )
Use quotient rule and simplify using chain rule for embedded functions.
Function
: ( f(x) = \frac{x \cdot \sqrt{x^2 + 1}}{2x + 9} )
Demonstrates embedded product rule within a quotient rule problem.
Key Points
The product rule and quotient rule allow the differentiation of more complex expressions involving products and quotients.
Understanding and applying chain rule is essential for handling compositions within these problems.
Simplification after applying the rules is often necessary to get the final answer.
Next Steps
Explore how the newly learned rules enhance understanding of function behavior through their derivatives.
📄
Full transcript