Assume that [latex]y[/latex] is a function of [latex]x[/latex]. Calculate

1. [latex]\frac{d}{dx}\left( y^3 \right)[/latex]
2. [latex]\frac{d}{dx}\left( x^3y^2 \right)[/latex]
3. [latex]\frac{d}{dx}\left( \ln(y) \right)[/latex]

1. We need the chain rule, since y is a function of x: [latex]\frac{d}{dx}\left( y^3 \right)=3y^2\frac{dy}{dx}\overset{\text{or}}{=}3y^2y'[/latex]
2. We need to use the product rule and the chain rule:
   [latex]\begin{align*} \frac{d}{dx}\left( x^3y^2 \right)=& x^3\frac{d}{dx}\left( y^2 \right)+y^2\frac{d}{dx}\left( x^3\right) \\ =& x^32y\frac{dy}{dx}+y^23x^2 \\ \overset{\text{or}}{=}& 2x^3yy'+3y^2x^2 \end{align*}[/latex]
3. We know [latex]\frac{d}{dx}\left( \ln(x) \right) =\frac{1}{x}[/latex], so we use that and the chain rule: [latex]\frac{d}{dx}\left( \ln(y) \right)=\frac{1}{y}\cdot y'[/latex]

Find the slope of the tangent line to the circle [latex]x^2 + y^2 = 25[/latex] at the point [latex](3,4)[/latex] using implicit differentiation.

We differentiate each side of the equation [latex]x^2 + y^2 = 25[/latex] and then solve for [latex]y'[/latex]:
[latex]\begin{align*} \frac{d}{dx}\left(x^2+y^2\right)=& \frac{d}{dx}(25)\\ 2x+2yy'=& 0 \end{align*}[/latex]

Solving for [latex]y'[/latex], we have [latex]y'=-\frac{2x}{2y}=-\frac{x}{y}[/latex], and at the point (3,4), [latex]y'=-\frac{3}{4}.[/latex]

Suppose the border of a town is roughly circular, and the radius of that circle has been increasing at a rate of 0.1 miles each year. Find how fast the area of the town has been increasing when the radius is 5 miles.

We could get an approximate answer by calculating the area of the circle when the radius is 5 miles ([latex]A = \pi r^2 = \pi (5 \text{ miles})^2 \approx 78.6 \text{ miles}^2[/latex]) and 1 year later when the radius is 0.1 feet larger than before ([latex]A = \pi r^2 = \pi (5.1 \text{ miles})^2 \approx 81.7 \text{ miles}^2[/latex]) and then finding [latex]\frac{\Delta \text{Area}}{\Delta \text{time}}=\frac{81.7 \text{ mi}^2 - 78.6 \text{ mi}^2}{1 \text{ year}} = 3.1 \text{ mi}^2/\text{yr}.[/latex] This approximate answer represents the average change in area during the 1-year period when the radius increased from 5 miles to 5.1 miles and would correspond to the secant slope on the area graph.

To find the exact answer, though, we need derivatives. In this case both radius and area are functions of time: [latex]r(t)=\text{ radius at time } t \qquad A(t)=\text{ area at time } t.[/latex]

We know how fast the radius is changing, which is a statement about the derivative: [latex]\frac{dr}{dt}=0.1\frac{\text{mile}}{\text{year}}[/latex]. We also know that [latex]r = 5[/latex] at our moment of interest.

We are looking for how fast the area is increasing, which is [latex]\frac{dA}{dt}[/latex].

Now we need an equation relating our variables, which is the area equation: [latex]A=\pi r^2.[/latex]

Taking the derivative of both sides of that equation with respect to [latex]t[/latex], we can use implicit differentiation:
[latex]\begin{align*} \frac{d}{dt}\left( A \right)=& \frac{d}{dt}\left( \pi r^2 \right)\\ \frac{dA}{dt}=& \pi 2r\frac{dr}{dt} \end{align*}[/latex]

Plugging in the values we know for [latex]r[/latex] and [latex]\frac{dr}{dt}[/latex], [latex]\frac{dA}{dt}=\pi 2(5\text{ miles})\left(0.1\frac{\text{miles}}{\text{year}}\right)=\pi\frac{\text{miles}^2}{\text{year}}[/latex]

So the area of the town is increasing by approximately 3.14 square miles per year when the radius is 5 miles.

A company has determined the demand curve for their product is [latex]q=\sqrt{5000-p^2}[/latex], where [latex]p[/latex] is the price in dollars and [latex]q[/latex] is the quantity in millions. If weather conditions are driving the price up $2 a week, find the rate at which demand is changing when the price is $40.

The quantities changing are [latex]p[/latex] and [latex]q[/latex], and we assume they are both functions of time, [latex]t[/latex], in weeks. We already have an equation relating the quantities, so we can implicitly differentiate it.
[latex]\begin{align*} \frac{d}{dt}(q)=& \frac{d}{dt}\left(5000-p^2\right)^{1/2} \\ \frac{dq}{dt}=& \frac{1}{2}\left(5000-p^2\right)^{-1/2}\frac{d}{dt}\left(5000-p^2\right) \\ \frac{dq}{dt}=& \frac{1}{2}\left(5000-p^2\right)^{-1/2}\left(-2p\frac{dp}{dt}\right) \end{align*}[/latex]

Using the given information, we know the price is increasing by $2 per week when the price is $40, giving [latex]\frac{dp}{dt}=2[/latex] when [latex]p = 40[/latex]. Plugging in these values, [latex]\frac{dq}{dt} = \frac{1}{2}\left(5000-40^2\right)^{-1/2}\left(-2(40)(2)\right) \approx -1.37[/latex]

Demand is falling by 1.37 million items per week.