Chapter 4: Problem 53
Simplify the expression. $$5-e^{\ln \left(x^{2}+1\right)}$$
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Chapter 4: Problem 53
Simplify the expression. $$5-e^{\ln \left(x^{2}+1\right)}$$
These are the key concepts you need to understand to accurately answer the question.
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Solve the logarithmic equation algebraically. Round the result to three decimal places. Verify your answer(s) using a graphing utility. $$\log _{9}(4+x)=\log _{9} 2 x$$
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.
The table shows the annual sales \(S\) (in billions of dollars) of Starbucks for the years from 2009 through 2013. (Source: Starbucks Corp.) $$\begin{array}{|c|c|}\hline \text { Year } & \text { Sales, } S \\\\\hline 2009 & 9.77 \\\\\hline 2010 & 10.71 \\\\\hline 2011 & 11.70 \\\\\hline 2012 & 13.30 \\\\\hline 2013 & 14.89 \\\\\hline\end{array}$$ (a) Use the regression feature of a graphing utility to find an exponential model for the data. Let \(t\) represent the year, with \(t=9\) corresponding to 2009. (b) Rewrite the model from part (a) as a natural exponential model. (c) Use the natural exponential model to predict the annual sales of Starbucks in \(2018 .\) Is the value reasonable?
Use the zero or root feature of a graphing utility to approximate the solution of the logarithmic equation. $$\ln x^{2}-e^{x}=-3-\ln x^{2}$$
Let \(f(x)=\log _{a} x\) and \(g(x)=a^{x},\) where \(a>1.\) (a) Let \(a=1.2\) and use a graphing utility to graph the two functions in the same viewing window. What do you observe? Approximate any points of intersection of the two graphs. (b) Determine the value(s) of \(a\) for which the two graphs have one point of intersection. (c) Determine the value(s) of \(a\) for which the two graphs have two points of intersection.
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