2 Derivatives
The derivative function  of
 of  gives us the rate at which the dependent variable
 gives us the rate at which the dependent variable  is changing in relation to the independent variable
 is changing in relation to the independent variable  . Because the slope is the rate at which the dependent variable is changing in relation to the independent variable, the derivative can be thought of as slope. In fact, the derivative of a function
. Because the slope is the rate at which the dependent variable is changing in relation to the independent variable, the derivative can be thought of as slope. In fact, the derivative of a function  at a point
 at a point  is the slope of the tangent line at
 is the slope of the tangent line at  . Consider the following function.
. Consider the following function.

What we want to do is find the slope of the tangent line at  in order to determine the slope of
 in order to determine the slope of  at
 at  . We know that the slope of the line between two points is given as
. We know that the slope of the line between two points is given as 
      ![Rendered by QuickLaTeX.com \[m=\frac{f(x_1)-f(x_2)}{x_1-x_2}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-aa4c912e1f71b3367dba158d3ac0a0f5_l3.png)
 Let  and
 and  . Now we have
. Now we have 
      ![Rendered by QuickLaTeX.com \[m=\frac{f(1+\Delta x)-f(1)}{\Delta x}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-195686e64629cb0064176ff209a7d9fe_l3.png)
 The problem is that this gives the slope of a secant line of  . So, how do we get the slope of the tangent line? We are going to approximate it with the slope of the secant line that is as close to being the tangent line as possible. We find this secant line by choosing
. So, how do we get the slope of the tangent line? We are going to approximate it with the slope of the secant line that is as close to being the tangent line as possible. We find this secant line by choosing  to be as close to 0 as possible without
 to be as close to 0 as possible without  equaling 0. Consider the following graph.
 equaling 0. Consider the following graph.

As  gets closer to 0, the secant lines get closer to the tangent (purple) line. So, to find the slope of the tangent line, we need to find
 gets closer to 0, the secant lines get closer to the tangent (purple) line. So, to find the slope of the tangent line, we need to find 
      ![Rendered by QuickLaTeX.com \[\lim_{\Delta x\rightarrow 0}\frac{f(1+\Delta x)-f(1)}{\Delta x}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-825b377260b835e7c5453e03b0ba4a5a_l3.png)
Generalizing this result, we have the formal definition from Larson and Edwards [15].
The derivative of
 at
 at  is
 is 
      ![Rendered by QuickLaTeX.com \[f'(x)=\lim_{\Delta x\to 0} \displaystyle\frac{f(x+\Delta x)-f(x)}{\Delta x}\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-dee019cc77e59203fab901cce76125ee_l3.png)
provided the limit exists. For all  for which this limit exists,
 for which this limit exists,  is a function of
 is a function of  .
.
Additionally, the process of finding the derivative is known as differentiation, and the derivative of  with respect to
 with respect to  is denoted as
 is denoted as 
      ![Rendered by QuickLaTeX.com \[\frac{d}{dx}f(x)=f'(x)=y'=\frac{dy}{dx} .\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-b5e48d33991781b47510f342c3fa7b20_l3.png)
It is possible to use Definition I.3 to find derivatives by substituting  in and taking the limit as
 in and taking the limit as  approaches 0. However, this process can become quite long and prone to error when dealing with complicated functions. In fact, finding derivatives using the definition is rarely used. Instead, the definition is used to prove derivative rules that make finding derivatives simpler and easier. Consider the following rules from Larson and Edwards [15].
 approaches 0. However, this process can become quite long and prone to error when dealing with complicated functions. In fact, finding derivatives using the definition is rarely used. Instead, the definition is used to prove derivative rules that make finding derivatives simpler and easier. Consider the following rules from Larson and Edwards [15].
- The Constant Rule: ![Rendered by QuickLaTeX.com \displaystyle\frac{d}{dx}[c]=0](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-cf183e838a5b9b9b687a853665bc151f_l3.png) where where is a real number is a real number
- The Power Rule: ![Rendered by QuickLaTeX.com \displaystyle\frac{d}{dx}[x^n]=nx^{n-1}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-702c5917d6c5ee9928ce94320db1a2ba_l3.png) where where is a rational number is a rational number
- The Constant Multiple Rule: ![Rendered by QuickLaTeX.com \displaystyle\frac{d}{dx}[cf(x)]=cf'(x)](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-c29179addeacbe7787214092113867bd_l3.png) where where is a real number is a real number
- The Sum and Difference Rules: ![Rendered by QuickLaTeX.com \displaystyle\frac{d}{dx}[f(x)\pm g(x)]=f'(x)\pm g'(x)](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-4cec9b8b43f1b51ac30f52a2e7cc8841_l3.png) 
Each of these rules can be proven by substituting into the formula given in the definition of a derivative, rewriting and simplifying, and then taking the limit. In the following pages, this will be demonstrated using the proofs for the product rule and quotient rule.
Let’s now put the above differentiation rules into practice by going through a problem I completed for Calculus I that comes from Larson and Edwards [15].
Find the derivative of
 .
.
Solution
      ![Rendered by QuickLaTeX.com \begin{align*} \frac{d}{dx}[f(x)]&=\frac{d}{dx}[x^2+5-3x^{-2}]\\ &=\frac{d}{dx}[x^2]+\frac{d}{dx}[5]-\frac{d}{dx}[3x^{-2}] &&\text{Sum and Difference Rules}\\ &=\frac{d}{dx}[x^2]+\frac{d}{dx}[5]-3\left(\frac{d}{dx}[x^{-2}]\right) &&\text{Constant Multiple Rule}\\ &=2x+6x^{-3} &&\text{Constant and Power Rules}\\ \end{align*}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-f74ce9db718729800afa15d24e815439_l3.png)
Differentiating products and quotients is more complicated so we will look at the product and quotient rules separately, providing an example for each.
Product Rule
The following definition and proof of the product rule are from Larson and Edwards [15].
Theorem I.4
 and
 and  is itself differentiable. Moreover, the derivative of
 is itself differentiable. Moreover, the derivative of  is the first function times the derivative of the second, plus the second function times the derivative of the first.
 is the first function times the derivative of the second, plus the second function times the derivative of the first. 
      ![Rendered by QuickLaTeX.com \[\frac{d}{dx}[f(x)g(x)]=f(x)g'(x)+g(x)f'(x)\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-d69b87ed78e4eab5d66de1e907236966_l3.png)
Proof.
      ![Rendered by QuickLaTeX.com \begin{align*} \frac{d}{dx}[f(x)g(x)]&=\lim_{\Delta x\rightarrow 0}\frac{f(x+\Delta x)g(x+\Delta x)-f(x)g(x)}{\Delta x}\\ \text{}\\ &=\lim_{\Delta x\rightarrow 0}\frac{f(x+\Delta x)g(x+\Delta x)-f(x+\Delta x)g(x)}{\Delta x}\;+\\ &\,\quad\lim_{\Delta x\rightarrow 0}\frac{f(x+\Delta x)g(x)-f(x)g(x)}{\Delta x} \\ \text{}\\ &=\lim_{\Delta x\rightarrow 0}f(x+\Delta x)\frac{g(x+\Delta x)-g(x)}{\Delta x}\;+\\ &\,\quad\lim_{\Delta x\rightarrow 0}g(x)\frac{f(x+\Delta x)-f(x)}{\Delta x}\\ \text{}\\ &=\lim_{\Delta x\rightarrow 0}f(x+\Delta x)\cdot \lim_{\Delta x\rightarrow 0}\frac{g(x+\Delta x)-g(x)}{\Delta x}\;+\\ &\,\quad\lim_{\Delta x\rightarrow 0}g(x)\cdot \lim_{\Delta x\rightarrow 0}\frac{f(x+\Delta x)-f(x)}{\Delta x}\\ \text{}\\ &=f(x)g'(x)+g(x)f'(x) \end{align*}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-8da7e5d3a154ee33d7c417df6d22c457_l3.png)
Now, let’s practice using a problem I completed for Calculus I that comes from Larson and Edwards [15].
Find the derivative of
 using the product rule.
 using the product rule.
Solution
      ![Rendered by QuickLaTeX.com \begin{align*} \frac{d}{dx}[f(x)]&=\frac{d}{dx}[(x^2+3)(x^2-4x)]\\ &=(x^2+3)\left(\frac{d}{dx}[x^2-4x]\right)+(x^2-4x)\left(\frac{d}{dx}[x^2+3]\right) \\ &=(x^2+3)(2x-4)+(x^2-4x)(2x)\\ &=2x^3-4x^2+6x-12+2x^3-8x^2\\ &=4x^3-12x^2+6x-12 \end{align*}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-7d2885c890d3238f8ee3b0f66d5ae790_l3.png)
Therefore, the derivative function of  is
 is 
      ![Rendered by QuickLaTeX.com \[f'(x)=4x^3-12x^2+6x-12.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-0449d862686b038c770bea2352a01f77_l3.png)
 Interpreting this result, the slope of  at
 at  is
 is  . Equivalently, the rate at which
. Equivalently, the rate at which  is changing at
 is changing at  is
 is  .
.
Quotient Rule
The following definition and proof of the quotient rule are from Larson and Edwards as well [15].
Theorem I.5
 of two differentiable functions
 of two differentiable functions  and
 and  is itself differentiable at all values of
 is itself differentiable at all values of  for which
 for which  Moreover, the derivative of
 Moreover, the derivative of  is given by the denominator times the derivative of the numerator minus the numerator times the derivative of the denominator, all divided by the square of the denominator.
 is given by the denominator times the derivative of the numerator minus the numerator times the derivative of the denominator, all divided by the square of the denominator. 
      ![Rendered by QuickLaTeX.com \[\frac{d}{dx}\left[\frac{f(x)}{g(x)}\right]=\frac{g(x)f'(x)-f(x)g'(x)}{[g(x)]^2}\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-69d56f9faf8ce346eb9e1e195cd97fd3_l3.png)
Proof.
      ![Rendered by QuickLaTeX.com \begin{align*} \frac{d}{dx}\left[\frac{f(x)}{g(x)}\right]&=\lim_{\Delta x\rightarrow 0}\frac{\displaystyle\left[\frac{f(x+\Delta x)}{g(x+\Delta x)}-\displaystyle\frac{f(x)}{g(x)}\right]}{\Delta x}\\ \text{}\\ &=\lim_{\Delta x\rightarrow 0}\frac{g(x)f(x+\Delta x)-f(x)g(x+\Delta x)}{\Delta x\cdot g(x)\cdot g(x+\Delta x)}\\ \text{}\\ &=\lim_{\Delta x\rightarrow 0}\frac{g(x)f(x+\Delta x)-f(x)g(x)+f(x)g(x)-f(x)g(x+\Delta x)}{\Delta x\cdot g(x)\cdot g(x+\Delta x)}\\ \text{}\\ &=\displaystyle\lim_{\Delta x\rightarrow 0}\displaystyle\frac{\left[\displaystyle\frac{g(x)[f(x+\Delta x)-f(x)]-f(x)[g(x+\Delta x)-g(x)]}{\Delta x}\right]}{g(x)\cdot g(x+\Delta x)}\\ \text{}\\ &=\frac{\displaystyle\lim_{\Delta x\rightarrow 0}\frac{g(x)[f(x+\Delta x)-f(x)]}{\Delta x}-\displaystyle\lim_{\Delta x\rightarrow 0}\frac{f(x)[g(x+\Delta x)-g(x)]}{\Delta x}}{\displaystyle\lim_{\Delta x\rightarrow 0}(g(x)\cdot g(x+\Delta x))}\\ \text{}\\ &=\frac{g(x)\left[\displaystyle\lim_{\Delta x\rightarrow 0}\frac{f(x+\Delta x)-f(x)}{\Delta x}\right]-f(x)\left[\displaystyle\lim_{\Delta x\rightarrow 0}\frac{g(x+\Delta x)-g(x)}{\Delta x}\right]}{\displaystyle\lim_{\Delta x\rightarrow 0}(g(x)\cdot g(x+\Delta x))}\\ \text{}\\ &=\frac{g(x)f'(x)-f(x)g'(x)}{[g(x)]^2} \end{align*}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-262f1648f7fedca5a1567150d0ec38a0_l3.png)
Let’s now practice using a problem I completed for Calculus I that comes from Larson and Edwards [15].
Find the derivative of
 .
.
Solution
      ![Rendered by QuickLaTeX.com \begin{align*} \frac{d}{dx}[f(x)]&=\frac{d}{dx}\left[\frac{x}{x^2+1}\right]\\ &=\frac{(x^2+1)\frac{d}{dx}[x]-(x)\frac{d}{dx}[x^2+1]}{(x^2+1)^2} &&\text{Quotient Rule}\\ &=\frac{(x^2+1)(1)-(x)(2x)}{(x^2+1)^2}\\ &=\frac{x^2+1-2x^2}{(x^2+1)^2}\\ &=\frac{-x^2+1}{(x^2+1)^2}\\ \end{align*}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-7754e36d4fd8ffab02cc440b2ee74b96_l3.png)
Therefore, the derivative function of  is
 is 
      ![Rendered by QuickLaTeX.com \[f'(x)=\frac{-x^2+1}{(x^2+1)^2}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-94f1630042d8befc813cda135b367032_l3.png)
The next rule we will discuss is the chain rule which enables us to differentiate functions within functions.
Chain Rule
Consider the function  How would we differentiate this? From the power rule, it would seem that
 How would we differentiate this? From the power rule, it would seem that 
      ![Rendered by QuickLaTeX.com \[\frac{dy}{dx}=2(2x+1)=4x+2.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-ed863f5f552ee39190a2fbecacc908b0_l3.png)
 But is this actually correct? Let us expand  to get
 to get  In this case,
 In this case, 
      ![Rendered by QuickLaTeX.com \[\frac{dy}{dx}=8x+4 \neq 4x+2.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-5d72bbd1e444bf57ec36a2a9b6eaa76e_l3.png)
We cannot simply use the power rule because we do not have  raised to a power but rather a function of
 raised to a power but rather a function of  raised to a power. We can think of
 raised to a power. We can think of  as being
 as being  where
 where  . When we only used the power rule, we did not differentiate
. When we only used the power rule, we did not differentiate  with respect to
 with respect to  but rather with respect to
 but rather with respect to  . So, how do we get from
. So, how do we get from  to
 to  ? The solution to this problem is the chain rule, which is stated by Larson and Edwards as follows [15].
? The solution to this problem is the chain rule, which is stated by Larson and Edwards as follows [15].
Theorem I.6
 is a differentiable function of
 is a differentiable function of  and
 and  is a differentiable function of
 is a differentiable function of  , then
, then  is a differentiable function of
 is a differentiable function of  and
 and 
      ![Rendered by QuickLaTeX.com \[\frac{dy}{dx}=\frac{dy}{du}\left(\frac{du}{dx}\right)\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-55cc30255c6fcae135be1768667a8c1f_l3.png)
or, equivalently,
      ![Rendered by QuickLaTeX.com \[\frac{d}{dx}[f(g(x))]=f'(g(x))g'(x).\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-78dce85f52975f13a3afc0718ff01cad_l3.png)
In other words, the solution is to multiply  by
 by  . The theorem states it as
. The theorem states it as 
      ![Rendered by QuickLaTeX.com \[\frac{dy}{du}\left(\frac{du}{dx}\right)=\frac{dy}{dx}\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-e2844057dd389b0166e887252e6dfabf_l3.png)
 because  cancels. So, going back to our example, what is
 cancels. So, going back to our example, what is  when
 when 
      ![Rendered by QuickLaTeX.com \[y=f(g(x))=(2x+1)^2?\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-332cfe88b894a7cd1b0f37c4151e53a1_l3.png)
 We have  and
 and  . By the chain rule,
. By the chain rule, 
      ![Rendered by QuickLaTeX.com \[\frac{dy}{dx}=\frac{dy}{du}\left(\frac{du}{dx}\right)=2u(2)=4(2x +1)=8x+4.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-0667b1bea1b5280d71873eb07c551809_l3.png)
Let’s now put the chain rule into practice with a more complicated function. This is a problem I completed for Calculus I and comes from Larson and Edwards [15].
Find the derivative of
![Rendered by QuickLaTeX.com f(x)=\sqrt[3]{6x^2+1}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-9b0c942ef0a73377c32d19868e681b62_l3.png) .
.
Solution
Let  and
 and 
      ![Rendered by QuickLaTeX.com \begin{align*} \frac{d}{dx}f(x)&=\frac{d}{dx}(h(g(x))\\ &=h'g(x)\cdot g'(x) &&\text{Chain Rule}\\ &=\frac{1}{3}(g(x))^{-\frac{2}{3}}\cdot (12x) \\ &=\frac{4x}{\sqrt[3]{(g(x))^2}}\\ &=\frac{4x}{\sqrt[3]{(6x^2+1)^2}}\\ \end{align*}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-a099303be7ad9c165e00555d0ef58d7e_l3.png)
Before moving on to integrals, we are going to discuss a special type of differentiation, known as implicit differentiation. As the name suggests, implicit differentiation is the process we use to differentiate implicit functions.
Implicit Differentiation
There are two forms that a function can take, implicit and explicit. An explicit function is one where one variable is clearly a function of another variable or variables. This type of function is what we have been dealing with so far. For example,
      ![Rendered by QuickLaTeX.com \[y=\sqrt{1-x^2}\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-dd69c29ad38b67ca04be678a22c6c267_l3.png)
 is an explicit function because  is clearly a function of
 is clearly a function of  . On the other hand,
. On the other hand, 
      ![Rendered by QuickLaTeX.com \[x^2+y^2=1; x,y\geq 0\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-e424fa9eb834eb0337a3a1f666e38444_l3.png)
 is an implicit function because it is not clear whether  is a function of
 is a function of  or vice versa.
 or vice versa.
For this particular equation, we restrict both  and
 and  to be greater than or equal to 0 because this equation may not be a function otherwise. If
 to be greater than or equal to 0 because this equation may not be a function otherwise. If  is a function of
 is a function of  , we can solve for
, we can solve for  to get
 to get 
      ![Rendered by QuickLaTeX.com \[x=\pm\sqrt{1-y^2}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-69f3969aa09ee2af6e6541a00bb7a5c9_l3.png)
Because the square root can be positive or negative, we have
      ![Rendered by QuickLaTeX.com \[x=+\sqrt{1-y^2}\text{ and } x=-\sqrt{1-y^2}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-b3d6eb1ef5a0e71ae79e17759e5b7127_l3.png)
 This is not a function because  . Thus, we must restrict
. Thus, we must restrict  to being nonnegative so that it is a function. This works in a similar manner for if
 to being nonnegative so that it is a function. This works in a similar manner for if  is a function of
 is a function of  . Because we do not know whether
. Because we do not know whether  is a function of
 is a function of  or vice versa, we must restrict both
 or vice versa, we must restrict both  and
 and  to being nonnegative so that we are guaranteed
 to being nonnegative so that we are guaranteed  is an implicit function. For a more detailed discussion of functions, see Part III: Chapter 15.
 is an implicit function. For a more detailed discussion of functions, see Part III: Chapter 15.
Sometimes, the implicit form does not cause too much trouble when differentiating. This is when we can easily solve for either one of the variables to be in terms of the other variable. Then, we can differentiate like normal. However, it is not always easy to solve for a variable. Take, for example,
      ![Rendered by QuickLaTeX.com \[x^3+7y^5+8y^4=16.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-e82192a74eb5fe2db9e9ede3feb09071_l3.png)
 It is not clear how one might solve for  in order to find
 in order to find  . This is where the process of implicit differentiation comes in. The steps of implicit differentiation are outlined by Larson and Edwards as follows [15].
. This is where the process of implicit differentiation comes in. The steps of implicit differentiation are outlined by Larson and Edwards as follows [15].
- Differentiate both sides of the equation.
- Move all the terms with  to one side of the equation and all other terms to the other side. to one side of the equation and all other terms to the other side.
- Factor out  . .
- Solve for  . .
Because we are solving for  , it is assumed that
, it is assumed that  is a function of
 is a function of  . That being said, it is easier to understand implicit differentiation if we let
. That being said, it is easier to understand implicit differentiation if we let  before beginning these steps. Let’s now practice with a problem I completed for Calculus I from Larson and Edwards [15].
 before beginning these steps. Let’s now practice with a problem I completed for Calculus I from Larson and Edwards [15].
Find
 given that
 given that  .
.
Solution
Let  .
.
      ![Rendered by QuickLaTeX.com \begin{align*} \frac{d}{dx}[x^3y^3-y]&=\frac{d}{dx}[x] &&\text{Differentiate w.r.t. $x$}\\ \frac{d}{dx}[x^3(f(x))^3-f(x)]&=\frac{d}{dx}[x] \\ x^3\frac{d}{dx}[(f(x))^3]+(f(x))^3\frac{d}{dx}[x^3]-\frac{d}{dx}[f(x)]&=\frac{d}{dx}[x] \\ x^3\left(3(f(x))^2 \frac{d}{dx}f(x)\right)+(f(x))^3(3x^2)-\frac{d}{dx}f(x)&=1 \\ x^3\left(3y^2 \frac{dy}{dx}\right)+y^3(3x^2)-\frac{dy}{dx}&=1 \\ 3x^3y^2\frac{dy}{dx}-\frac{dy}{dx}&=-3x^2y^3+1 &&\text{Move terms}\\ \frac{dy}{dx}(3x^3y^2-1)&=-3x^2y^3+1 &&\text{Factor out $\frac{dy}{dx}$}\\ \frac{dy}{dx}&=\frac{-3x^2y^3+1}{3x^3y^2-1} &&\text{Solve for $\frac{dy}{dx}$}\\ \end{align*}](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-97f4f1cb3ecb16b8c2931ef4eab2fa4f_l3.png)
Therefore, the derivative of  with respect to
 with respect to  where
 where  is
 is 
      ![Rendered by QuickLaTeX.com \[\frac{dy}{dx}=\frac{-3x^2y^3+1}{3x^3y^2-1}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-e9fb821c114e4c24f8848e2294676dfc_l3.png)
 This means that if we could solve  for
 for  , we would have that
, we would have that  is a function of
 is a function of  ,
,  , and the slope of
, and the slope of  at
 at  would be
 would be 
      ![Rendered by QuickLaTeX.com \[f'(x)=\frac{-3x^2[f(x)]^3+1}{3x^3[f(x)]^2-1}.\]](https://iu.pressbooks.pub/app/uploads/quicklatex/quicklatex.com-f72801b641512f20d17e5e5c61fafbdf_l3.png)
We are now ready to begin discussing integrals which are like the other side of the derivative coin and are even sometimes referred to as antiderivatives.
