Problem 83
Question
For the following exercises, use the given rational function to answer the question. The concentration \(C\) of a drug in a patient's bloodstream \(t\) hours after injection is given by \(C(t)=\frac{100 t}{2 t^{2}+75} .\) Use a calculator to approximate the time when the concentration is highest.
Step-by-Step Solution
Verified Answer
The concentration is highest approximately 6.12 hours after injection.
1Step 1: Understanding the Function
The function given is a rational function representing the concentration of a drug at time \( t \). It is written as \( C(t) = \frac{100t}{2t^2 + 75} \). We need to find the value of \( t \) where \( C(t) \) is maximized.
2Step 2: Finding Critical Points
To find the maximum concentration, we must find the critical points of the function. These occur where the first derivative, \( C'(t) \), is zero or undefined. We start by finding \( C'(t) \) using the quotient rule.
3Step 3: Applying the Quotient Rule
The quotient rule is \( \frac{d}{dt} \left( \frac{u}{v} \right) = \frac{u'v - uv'}{v^2} \). For \( C(t) \), where \( u = 100t \) and \( v = 2t^2 + 75 \), find the derivatives: \( u' = 100 \) and \( v' = 4t \). Substitute to get \( C'(t) = \frac{(100)(2t^2 + 75) - (100t)(4t)}{(2t^2 + 75)^2} \).
4Step 4: Simplifying the Derivative
Simplify the numerator of \( C'(t) \) to find critical points. \( 100(2t^2 + 75) \) simplifies to \( 200t^2 + 7500 \). \( 100t \cdot 4t \) is \( 400t^2 \). Therefore, the numerator becomes \( 200t^2 + 7500 - 400t^2 = -200t^2 + 7500 \).
5Step 5: Setting the Derivative to Zero
Set the simplified form of \( C'(t) \) to zero to find critical points: \( -200t^2 + 7500 = 0 \). Solving for \( t^2 \) gives \( 200t^2 = 7500 \), or \( t^2 = 37.5 \). Thus, \( t = \sqrt{37.5} \) which is approximately 6.12.
6Step 6: Evaluating the Critical Point
This critical point at \( t \approx 6.12 \) is where \( C(t) \) might reach a maximum. As the function is continuous and the first derivative changes sign, verify further with a graph or test intervals around this point to ensure it is a maximum.
Key Concepts
Critical PointsQuotient RuleMaximizing FunctionsFirst Derivative
Critical Points
In calculus, critical points of a function are the values in the domain of a function where its derivative is zero or undefined. These points are important because they can help identify where a function may have local maximums, minimums, or points of inflection.
- For the function described in this exercise, we are interested in finding where the concentration of the drug in the patient's bloodstream is at a maximum. This occurs at the critical points of the concentration function.
- We found these points by setting the first derivative of the function to zero. In this case, the critical point occurs at approximately \( t \approx 6.12 \).
Quotient Rule
The quotient rule is a technique used in calculus to find the derivative of a fraction where both the numerator and the denominator are differentiable functions.
- The rule is given by \( \frac{d}{dt} \left( \frac{u}{v} \right) = \frac{u'v - uv'}{v^2} \), where \( u \) is the numerator function and \( v \) is the denominator function.
- For the rational function in the exercise, \( u = 100t \) and \( v = 2t^2 + 75 \), which makes their derivatives \( u' = 100 \) and \( v' = 4t \) respectively.
Maximizing Functions
Maximizing a function involves finding the point at which it achieves its highest value, given its domain.
- This is particularly useful in many practical applications, such as determining optimal dosing times in medicine.
- For a rational function like the one in this example, we apply calculus to find where the first derivative is zero, indicating potential maximums (or minimums).
- After finding critical points through differentiation, we usually confirm whether these points are maximums by analyzing the function's behavior around these points.
First Derivative
The first derivative of a function provides valuable information about the function's rate of change. It can indicate how a function is increasing or decreasing at any point along its domain.
- By taking the first derivative, you determine where the slopes of tangent lines are zero, pinpointing the critical points where the function might have local extremes.
- In our scenario with the concentration function \( C(t) = \frac{100t}{2t^2 + 75} \), the first derivative was essential to find where the concentration changes direction, highlighting potential maximum or minimum concentration levels.
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