Problem 47
Question
The drag on an airplane at a given altitude is given by \(\left(a+b / v^{4}\right) v^{2}\) where \(a\) and \(b\) are positive constants, and \(v\) is the velocity of the plane. At what speed is drag minimized?
Step-by-Step Solution
Verified Answer
The drag is minimized at the velocity \( v = \sqrt[4]{\frac{b}{a}} \).
1Step 1: Identify the Function
The function representing the drag on the airplane is given by \( D(v) = \left( a + \frac{b}{v^{4}} \right) v^{2} \). Our goal is to find the value of \( v \) that minimizes this function.
2Step 2: Differentiate the Function
To find the critical points of the function, we need to differentiate it with respect to \( v \). The function can be expanded to \( D(v) = a v^{2} + \frac{b}{v^{2}} \). The derivative \( D'(v) \) is then calculated as follows: \( D'(v) = \frac{d}{dv} (a v^{2} + \frac{b}{v^{2}}) = 2a v - \frac{2b}{v^{3}} \).
3Step 3: Find Critical Points
To find where the drag reaches a minimum, set the derivative equal to zero: \( 2a v - \frac{2b}{v^{3}} = 0 \). Simplifying, \( 2a v = \frac{2b}{v^{3}} \). Solving for \( v \), multiply both sides by \( v^3 \) to get \( 2a v^4 = 2b \), leading to \( v^4 = \frac{b}{a} \).
4Step 4: Solve for Velocity
Take the fourth root of both sides to find \( v \). Thus, \( v = \sqrt[4]{\frac{b}{a}} \). This is the velocity at which the drag is minimized.
5Step 5: Confirm Minimum with Second Derivative
To ensure this value of \( v \) is indeed a minimum, we check the second derivative, \( D''(v) = \frac{d}{dv} (2a v - \frac{2b}{v^{3}}) = 2a + \frac{6b}{v^{4}} \). Since both terms are positive for positive \( v \), \( D''(v) > 0 \). Therefore, \( v = \sqrt[4]{\frac{b}{a}} \) is a minimum.
Key Concepts
Critical PointsSecond Derivative TestDifferentiationVelocity and Drag
Critical Points
In calculus, determining critical points is a crucial part of finding where functions reach their extremes, like minimum or maximum values. Critical points occur where the derivative of a function is zero or undefined. For the drag function in our problem, expressed as \( D(v) = \left( a + \frac{b}{v^{4}} \right) v^{2} \), we need to find the critical points to identify where drag is minimized. By differentiating the function and setting the derivative \( D'(v) \) to zero, we pinpoint the critical points. In this case, setting \( 2a v - \frac{2b}{v^{3}} = 0 \) helps us solve for \( v \), and leads us to the formula \( v^4 = \frac{b}{a} \). By finding \( v \) from this critical point, we can solve the problem effectively.
Second Derivative Test
The second derivative test is a handy tool to confirm whether a critical point is a minimum or maximum. Once we find a critical point from the first derivative, we should check the second derivative.In our exercise, the second derivative \( D''(v) = 2a + \frac{6b}{v^{4}} \) is calculated.
- If \( D''(v) > 0 \) at the critical point, like it is here, it's a minimum.
- If \( D''(v) < 0 \), it's a maximum point.
Differentiation
At the heart of calculus, differentiation involves finding the derivative of a function to determine rates of change. This process lets us explore how a function behaves, including identifying slopes and points of inflection.In our specific problem, we differentiated the drag function \( D(v) = a v^{2} + \frac{b}{v^{2}} \) to find the first derivative \( D'(v) = 2a v - \frac{2b}{v^{3}} \).
- This first derivative represents the rate at which drag changes with velocity.
- Setting the derivative to zero allows us to determine critical points.
Velocity and Drag
Understanding the relationship between velocity and drag is critical in aerodynamics. Drag force, a type of resistance experienced by an object moving through a fluid (like air), is influenced by the velocity.In this exercise, drag is given by the equation \( D(v) = \left( a + \frac{b}{v^{4}} \right) v^{2} \). This signifies how drag depends on velocity, \( v \).
- The term \( a v^{2} \) accounts for drag increasing with the square of velocity, while
- \( \frac{b}{v^{2}} \) adds complexity as it causes decreases with higher velocities.
Other exercises in this chapter
Problem 47
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