Problem 102
Question
After participating in an eight-week weight training program, a college student was selected to be part of a study to see how much strength he would lose if he discontinued working out. The function \(M_{B}(w)=225-14 \ln (4 w+1)\) approximates his maximum bench press (in pounds) \(w\) weeks after stopping weight training. What was his maximum bench press: a. At the end of the eight-week training course? b. 6 weeks after stopping the weight training?
Step-by-Step Solution
Verified Answer
a. 225 lbs; b. approximately 179.94 lbs
1Step 1: Understand the function
The function given is \(M_{B}(w)=225-14 \ln (4w+1)\), which approximates the student's maximum bench press in pounds, \(w\) weeks after stopping weight training.
2Step 2: Determine maximum bench press at the end of the course
At the end of the eight-week training course, the weight training has not yet stopped. Therefore, we calculate \(M_{B}(0)\) to find his maximum bench press's initial state.Substitute \(w = 0\) into the function:\[ M_{B}(0) = 225 - 14 \ln (4\times0 + 1) \]Simplifying gives:\[ M_{B}(0) = 225 - 14 \ln (1) \]Since \(\ln(1) = 0\), it results in:\[ M_{B}(0) = 225 \]
3Step 3: Determine bench press 6 weeks after stopping
Substitute \(w = 6\) into the function to find the maximum bench press after 6 weeks:\[ M_{B}(6) = 225 - 14 \ln (4\times6 + 1) \]Calculate inside the logarithm:\[ 4\times6 + 1 = 25 \]Thus, the equation becomes:\[ M_{B}(6) = 225 - 14 \ln (25) \]Using a calculator, approximate \(\ln(25)\) which is around 3.2189:\[ M_{B}(6) = 225 - 14 \times 3.2189 \]Calculate the final result:\[ M_{B}(6) \approx 225 - 45.0646 \approx 179.9354 \]
Key Concepts
Mathematical ModelingExponential DecayFunction Evaluation
Mathematical Modeling
Mathematical modeling helps us represent real-world scenarios using mathematical concepts and structures. It involves creating equations that depict relationships in an understandable way. In this exercise, our model predicts changes in the student's bench press ability post-training.
The given function is a model that relies on the logarithmic function to simulate how strength diminishes when training ceases. The equation used is:
A logarithmic function, like the one here, is effective in modeling scenarios where changes happen gradually, such as strength loss or radioactive decay. This model captures the gradual decline due to muscle disuse effectively, illustrating how mathematical modeling can transform complex scenarios into simpler forms that are easy to analyze and predict.
The given function is a model that relies on the logarithmic function to simulate how strength diminishes when training ceases. The equation used is:
- \( M_{B}(w) = 225 - 14\ln(4w + 1) \)
A logarithmic function, like the one here, is effective in modeling scenarios where changes happen gradually, such as strength loss or radioactive decay. This model captures the gradual decline due to muscle disuse effectively, illustrating how mathematical modeling can transform complex scenarios into simpler forms that are easy to analyze and predict.
Exponential Decay
Exponential decay processes describe scenarios where quantities decrease at a rate proportional to their current value. In simple terms, things decrease faster when they are larger and slow down as they get smaller.
In the context of this exercise, the logarithmic component contributes to the decay effect. While the function itself, \( 225 - 14 \ln(4w + 1) \), is not a pure exponential decay, it behaves similarly with respect to how quickly the bench press maximum decreases post-training.
This slower initial drop in strength mirrors natural processes like cooling and natural depreciation, where the logarithmic function's properties help capture the non-linear decline effectively. Understanding this can help link mathematical concepts to physical intuitions in real-world situations.
In the context of this exercise, the logarithmic component contributes to the decay effect. While the function itself, \( 225 - 14 \ln(4w + 1) \), is not a pure exponential decay, it behaves similarly with respect to how quickly the bench press maximum decreases post-training.
This slower initial drop in strength mirrors natural processes like cooling and natural depreciation, where the logarithmic function's properties help capture the non-linear decline effectively. Understanding this can help link mathematical concepts to physical intuitions in real-world situations.
Function Evaluation
Function evaluation refers to plugging numbers into a function to get a relevant output. It's about determining the exact value the function expresses under certain conditions.
To evaluate the student's maximum bench press after the eight-week course, we substitute \( w = 0 \) into our model:
Six weeks post-training, we substitute \( w = 6 \) into the function:
To evaluate the student's maximum bench press after the eight-week course, we substitute \( w = 0 \) into our model:
- \( M_{B}(0) = 225 - 14 \ln(1) = 225 \)
Six weeks post-training, we substitute \( w = 6 \) into the function:
- Calculate \( M_{B}(6) = 225 - 14\ln(25) \)
- \( M_{B}(6) \approx 179.9354 \)
Other exercises in this chapter
Problem 101
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Use the change-of-base formula to find logarithm to four decimal places. \(\log _{\pi} e\)
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Tritium Decay. The half-life of tritium is 12.4 years. How long will it take for \(25 \%\) of a sample of tritium to decompose?
View solution Problem 103
Graph each function by plotting points or by using a translation. The basic logarithmic functions graphed in Exercises \(99-102\) will be helpful. See Example 7
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