guide to differentiation

A derivative is an operation that quantifies the sensitivity of change of a function’s output as its input changes

The act of finding a derivative is called differentiation.
Differentiation is the core of differential calculus.

syntax

there are a few ways derivatives are presented.

if we have an expression , its derivative is shown as
if we have a function , the derivative of the function is
if we have an equation , the derivative of the equation is
notice how differentiation is an operation so it can be done to both sides of the equation

the derivative of a function are point is the slope of tangent line at that point

finding the derivative is called differentiation. for a function we can find its derivative with:

this definition is explained in proof of finding derivative

differentiability

in calculus, we have a way to tell if you can perform a derivative on a function

for a point on function : is not differentiable if is not continuous at , or if has a sharp turn at . in order for to be continuous at , must exist.

if differentiable, then it must be continuous.

derivative rules

constant rule

variable rule

power rule

constant multiple rule

sum rule

product rule

quotient rule

Hers is a subset of the quotient rule.

chain rule

more derivative rules

implicit differentiation

we have this very hard equation:

the graph of this equation is continuous, but the slope changes dramatically at different x values.

take the derivative of this equation:

apply derivative rules:

okay, realize how this derivative equation has x and y in it. this is what makes it an implicit differentiation.

this video is an example of how implicit differs from using explicit differentiation
https://www.khanacademy.org/math/ap-calculus-ab/ab-differentiation-2-new/ab-3-2/v/showing-explicit-and-implicit-differentiation-give-same-result

derivatives of inverse functions

the inverse of is .

the derivative of is .

this is really exciting! also,

second derivatives

we can take the derivative of the derivative of a function. this is called the second derivative. the second derivative of is , or

hidden derivatives

what is

this limit expression has the form:

we can tell that , or the x value, is 2.

this means that we need to evaluate

in this case, , and

so the answer is , which is , which is

https://www.khanacademy.org/math/ap-calculus-ab/ab-diff-contextual-applications-new/ab-4-5/v/falling-ladder-related-rates
here is example of a related rates problem

the differentiable functions and are related by the following equation:

also,

find when and

in this case, and , and after solving for we know that so we can simplify: