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
id: 1741511532045
---
$\dfrac{d}{dx}\left[c\right]$ = ==$0$==variable rule
id: 1741511532821
---
$\dfrac{d}{dx}\left[x\right]$ = ==1==power rule
id: 1741511533420
---
==$\dfrac{d}{dx}[x^{n}]$== = ==$n\cdot x^{n-1}$==constant multiple rule
id: 1741511533922
---
==$\dfrac{d}{dx}\left[c \cdot f(x)\right]$== = ==$c \cdot f'(x)$==sum rule
id: 1741511534597
---
==$\dfrac{d}{dx}\left[f(x)+g(x)\right]$== = ==$f'(x)+g'(x)$==product rule
id: 1741511534896
---
==$\dfrac{d}{dx}\left[f(x)g(x)\right]$== = ==$f'(x)g(x)+f(x)g'(x)$==quotient rule
id: 1741511535196
---
==$\dfrac{d}{dx}\left[\dfrac{f(x)}{g(x)}\right]$== = ==$\dfrac{f'(x)g(x)-f(x)g'(x)}{g(x)^2}$==Hers is a subset of the quotient rule.
id: 1741511535395
---
==$\dfrac{d}{dx}\left[\dfrac{1}{f(x)}\right]$== = ==$-\dfrac{f'(x)}{f(x)^2}$==chain rule
id: 1741511535596
---
==$\dfrac{d}{dx}\left[f(g(x))\right]$== = ==$f'(g(x))\cdot g'(x)$==exponential
id: 1744594347171
---
==$\dfrac{d}{dx}\left[e^{ax}\right]$== = ==$ae^{ax}$==
id: 1744594347320
---
==$\dfrac{d}{dx}\left[\ln(x)\right]$== = ==$\dfrac{1}{x}$==trig
id: 1744765955608
---
==$\dfrac{d}{dx}\left[\sin(ax)\right]$== = ==$a\cos(ax)$==
id: 1744765955658
---
==$\dfrac{d}{dx}\left[\cos(ax)\right]$== = ==$-a\sin(x)$======
id: 1744765955683
---
==$\dfrac{d}{dx}\left[\tan(x)\right]$== = ==$\dfrac{1}{\cos^2(x)}$======
id: 1744765955734
---
==$\dfrac{d}{dx}\left[\tan(ax)\right]$== = ==$a\sec^2(ax)$==inverse trig
====
id: 1744765955759
---
==$\dfrac{d}{dx}(\sin^{-1}(ax))$== = ==$\dfrac{a}{\sqrt{1-(ax)^2}}$======
id: 1744765955809
---
==$\dfrac{d}{dx}(\cos^{-1}(ax))$== = ==$\dfrac{-a}{\sqrt{1-(ax)^2}}$======
id: 1744765955833
---
==$\dfrac{d}{dx}(\tan^{-1}(ax))$== = ==$\dfrac{a}{1+(ax)^2}$==more trig
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 .
Really exciting!
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
related derivatives
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: