/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Problem 86 (a) use a graphing utility to gr... [FREE SOLUTION] | 91Ó°ÊÓ

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(a) use a graphing utility to graph the two equations in the same viewing window and (b) use the table feature of the graphing utility to create a table of values for each equation. (c) What do the graphs and tables suggest? Verify your conclusion algebraically.$$y_{1}=2\left[\ln 6+\ln \left(x^{2}+1\right)\right], \quad y_{2}=\ln \left[36\left(x^{2}+1\right)^{2}\right]$$.

Short Answer

Expert verified
The graphs of the two functions are identical and the table of values match for each function, suggesting they are the same. This was confirmed algebraically as \(y_{1}\) and \(y_{2}\) simplify to the same expression.

Step by step solution

01

Graph the equations

You should enter each function into a graphing utility and observe their behavior in the same viewing window. You would notice that the graphs of both functions are identical, which suggests they may be the same function, they coincide everywhere.
02

Create the tables

In the graphing utility, use the table feature to generate a table of values for each function and compare these. If each corresponding pair of y-values are the same for a range of x-values, this furthers the suggestion that the functions are identical.
03

Verify algebraically

Based on the definition of logarithms, \(\ln a^b = b \ln a\), we can simplify \(y_{2}\) as follows: \(y_{2}=\ln \left[36\left(x^{2}+1\right)^{2}\right]\) (Distribute \(\ln\) to 36 and \(\left(x^{2}+1\right)^{2}\))= \(\ln 36 + \ln \left[\left(x^{2}+1\right)^{2}\right]\) = \(2\ln 6 + 2\ln \left(x^{2}+1\right)\)Thus, \(y_{2}\) simplifies to the same expression as \(y_{1}\), confirming that the two equations are indeed the same function.

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Key Concepts

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

Properties of Logarithms
Understanding the properties of logarithms is essential for working with logarithmic functions and equations. A logarithm, denoted as \( \log_b(a) \), is the exponent to which a base \( b \) must be raised to obtain the number \( a \). There are several foundational properties that make working with logarithms more manageable.

Firstly, the product rule states that the logarithm of a product is the sum of the logarithms: \( \log_b(mn) = \log_b(m) + \log_b(n) \). This property is used in the exercise to break down the logarithm of a product. Secondly, the power rule indicates that the logarithm of a power is the exponent times the logarithm of the base: \( \log_b(m^n) = n \log_b(m) \). In the given problem, this rule allows us to simplify the second function by bringing down the exponent of 2. Lastly, the change of base formula permits conversion between different logarithmic bases, which is not directly used in this exercise but remains a crucial concept.

By applying these properties, you can often transform complex logarithmic expressions into simpler forms that are easier to compare or solve, as demonstrated with the equations in the provided problem.
Verifying Functions Algebraically
Verifying functions algebraically is a method used to prove whether two functions are equivalent without relying solely on visual interpretations from graphs. Algebraic verification often involves simplifying expressions, proving identities, or manipulating equations to reveal their true nature.

In the context of the exercise, we verified the equivalence of two seemingly different logarithmic functions algebraically. By employing properties of logarithms, the second equation \( y_2 \) was rewritten in a simpler form. This process demonstrated that both functions are, in fact, identical expressions of the same function. An important tip for students is to always look out for opportunities to apply logarithmic properties to simplify or combine terms. This algebraic skill assists in clearing any ambiguity that might arise from just graphing, by providing a concrete mathematical proof of the relationship between the given functions.
Graphing Utility Usage
Graphing utilities are powerful tools in mathematics that help visualize and analyze functions. They can often reveal the behavior and properties of functions that might be difficult to discern through algebra alone. When approaching tasks like the one in the original exercise, students are advised to input the given equations correctly, set appropriate viewing windows to capture the essential features of the graph, and then use the zoom and trace features to explore these features in greater detail.

Critical advice includes: always make sure the calculator is set in the correct mode (radians or degrees) for the functions you are examining, and use the table feature to examine specific values of \( x \) and \( y \) that can give hints as to the nature of the functions. For example, when students compare tables from two different functions, equal \( y \) values for corresponding \( x \) inputs strongly suggest the functions may be the same, as seen in the problem discussed. Thus, graphing utilities serve not only as a means of visualization but also as a tool for preliminary analysis and verification in the study of functions.

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Most popular questions from this chapter

Use a graphing utility to create a scatter plot of the data. Decide whether the data could best be modeled by a linear model, an exponential model, or a logarithmic model. $$(1,2.0),(1.5,3.5),(2,4.0),(4,5.8),(6,7.0),(8,7.8)$$

Solve the logarithmic equation algebraically. Round the result to three decimal places. Verify your answer(s) using a graphing utility. $$\log _{10}\left(z^{2}+19\right)=2$$

The table shows the yearly sales \(S\) (in millions of dollars) of Whole Foods Market for the years 2006 through 2013. (Source: Whole Foods Market) $$\begin{array}{|l|r|}\hline \text { Year } & \text { Salces } \\\\\hline 2006 & 5,607.4 \\\2007 & 6,591.8 \\\2008 & 7,953.9 \\\2009 & 8,031.6 \\\2010 & 9,005.8 \\\2011 & 10,108.0 \\\2012 & 11,699.0 \\\2013 & 12,917.0 \\\\\hline\end{array}$$ (a) Use the regression feature of a graphing utility to find an exponential model and a power model for the data and identify the coefficient of determination for each model. Let \(t\) represent the year, with \(t=6\) corresponding to 2006 (b) Use the graphing utility to graph each model with the data. (c) Use the coefficients of determination to determine which model fits the data better.

The populations \(P\) (in thousands) of Luxembourg for the years 1999 through 2013 are shown in the table, where \(t\) represents the year, with \(t=9\) corresponding to 1999. (Source: European Commission Eurostat) $$\begin{array}{|c|c|}\hline \text { Year } & \text { Population, } P \\\\\hline 1999 & 427.4 \\\2000 & 433.6 \\\2001 & 439.0 \\\2002 & 444.1 \\\2003 & 448.3 \\\2004 & 455.0 \\\2005 & 461.2 \\\2006 & 469.1 \\\2007 & 476.2 \\\2008 & 483.8 \\\2009 & 493.5 \\\2010 & 502.1 \\\2011 & 511.8 \\\2012 & 524.9 \\\2013 & 537.0 \\\\\hline\end{array}$$ (a) Use the regression feature of a graphing utility to find a linear model for the data and to identify the coefficient of determination. Plot the model and the data in the same viewing window. (b) Use the regression feature of the graphing utility to find a power model for the data and to identify the coefficient of determination. Plot the model and the data in the same viewing window. (c) Use the regression feature of the graphing utility to find an exponential model for the data and to identify the coefficient of determination. Plot the model and the data in the same viewing window. (d) Use the regression feature of the graphing utility to find a logarithmic model for the data and to identify the coefficient of determination. Plot the model and the data in the same viewing window. (e) Which model is the best fit for the data? Explain. (f) Use each model to predict the populations of Luxembourg for the years 2014 through 2018. (g) Which model is the best choice for predicting the future population of Luxembourg? Explain. (h) Were your choices of models the same for parts (e) and \((g) ?\) If not, explain why your choices were different.

Find the time required for a \(\$ 1000\) investment to (a) double at interest rate \(r,\) compounded continuously, and (b) triple at interest rate \(r\), compounded continuously. Round your results to two $$r=2.5 \%$$

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