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Chapter 4: Problem 31

Show that the value of \(f(x)\) approaches the value of \(g(x)\) as \(x\) increases without bound (a) graphically and (b) numerically. $$f(x)=1+\left(\frac{0.5}{x}\right)^{x}, g(x)=e^{0.5}$$

Short Answer

Expert verified
As \(x\) increases without bound, the value of \(f(x)\) = 1 + \(\left(\frac{0.5}{x}\right)^{x}\) approaches the value of \(g(x)\) = \(e^{0.5}\). This can be observed both graphically, where the functions converge, and numerically, by comparing values of \(f(x)\) and \(g(x)\) for an increasing series of \(x\) values.

Step by step solution

01

Graphical Analysis

To compare the values of the functions graphically, plot both \(f(x)\) and \(g(x)\) in the same graph. Start with the domain of \(x\) from 1 to a reasonable high number to demonstrate approaching behavior. As \(x\) increases, observe the convergence of \(f(x)\) towards \(g(x)\). The graph will help visualize this behavior, showing how as \(x\) increases, the values of \(f(x)\) and \(g(x)\) approach each other.
02

Numerical Comparison

Complete a table of values for both functions. Choose a series of values for \(x\) ranging from 1 to 1000, with progressive jumps in the values. For each \(x\), calculate the corresponding \(f(x)\) and \(g(x)\). Pay attention to the behavior of \(f(x)\) values as they approach the constant value of \(g(x)\), which is \(e^{0.5}\). This will numerically demonstrate the converging behavior.
03

Concluding the Analysis

Through both graphical and numerical approaches, it can be seen that as \(x\) increases without bound, the function \(f(x)\) approaches the constant function \(g(x)\). This convergence can be visually verified by the graph and numerically confirmed with a comparison of the function values.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Graphical Analysis
Visualizing the relationship between two functions is a powerful technique to understand their behavior. To demonstrate how the value of the function \( f(x) \) approaches that of \( g(x) \) as \( x \) increases, one can compare their graphs. Begin by plotting \( f(x) = 1 + \left(\frac{0.5}{x}\right)^{x} \) and \( g(x) = e^{0.5} \), ideally over a domain starting from \( x = 1 \) upward to capture more of their behaviors.

  • Focus on high values of \( x \): This will show how closely \( f(x) \) starts to approximate \( g(x) \).
  • Notice the convergence: As \( x \) gets larger, the plot of \( f(x) \), initially distinguishable from \( g(x) \), draws nearer, indicating the convergence.
To ensure an effective comparison, a computer graphing tool or graphing calculator can be used. This visual tool clearly shows the decreasing gap between \( f(x) \) and \( g(x) \).
Numerical Comparison
Beyond graphs, numerical comparison allows us to quantify and confirm how \( f(x) \) approaches \( g(x) \). This involves calculating specific values of \( f(x) \) for a range of \( x \) values and observing the trend as \( x \) increases.

  • Choose values: Select values like \( x = 1, 10, 100, 500, 1000 \), etc., to observe how \( f(x) \) reacts as \( x \) grows.
  • Evaluate \( f(x) \) and compare: For each selected \( x \), compute \( f(x) \) and notice how these values get closer to \( g(x) = e^{0.5} \).
A table format can help organize these computations, highlighting how the differences between \( f(x) \) and \( g(x) \) diminish at higher \( x \) values. This numerical evidence strengthens the graphical findings, indicating convergence as \( x \) increases.
Convergence of Functions
Convergence in mathematics refers to the process where a sequence or function approaches a specific value as the input grows indefinitely. In this context, we analyze the functions \( f(x) = 1 + \left(\frac{0.5}{x}\right)^{x} \) and \( g(x) = e^{0.5} \) to see if they become indistinguishable at larger \( x \) values.

  • Definition: The function \( f(x) \) tends towards a limiting function \( g(x) \) as \( x \) approaches infinity.
  • Observation: Both graphical and numerical methods affirm that \( f(x) \) indeed approaches \( g(x) \), displaying convergence.
Convergence is a key concept in calculus that helps predict behavior of functions in the long run, beyond their immediate vicinity. Understanding this convergence means knowing that \( f(x) \)'s rate of change slows, aligning with the constant function \( g(x) \) as \( x \) grows.

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Most popular questions from this chapter

The table shows the lengths \(y\) (in centimeters) of yellowtail snappers caught off the coast of Brazil for different ages (in years). (Source: Brazilian Journal of Oceanography) $$\begin{array}{|c|c|}\hline \text { Age, }x & \text { Length, } y\\\\\hline 1 & 11.21 \\\2 & 20.77 \\\3 & 28.94 \\\4 & 35.92 \\\5 & 41.87 \\\6 & 46.96 \\\7 & 51.30 \\\8 & 55.01 \\\9 & 58.17 \\\10 & 60.87 \\\11 & 63.18 \\\12 & 65.15 \\\13 & 66.84 \\\14 & 68.27 \\\15 & 69.50 \\\\\hline\end{array}$$ (a) Use the regression feature of a graphing utility to find a logistic model and a power model for the data. (b) Use the graphing utility to graph each model from part (a) with the data. Use the graphs to determine which model better fits the data. (c) Use the model from part (b) to predict the length of a 17-year-old yellowtail snapper.

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