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The demand function for a special limited edition coin set is given by \(p=1000\left(1-\frac{5}{5+e^{-0.001 x}}\right)\) (a) Find the demand \(x\) for a price of \(p=\$ 139.50\). (b) Find the demand \(x\) for a price of \(p=\$ 99.99\). (c) Use a graphing utility to confirm graphically the results found in parts (a) and (b).

Short Answer

Expert verified
The demand for a price of \( p = \$ 139.50 \) is approximately \( x = 8786.90 \) and for a price of \( p = \$ 99.99 \) is approximately \( x = 14142.10 \). The results are confirmed graphically with a graphing utility.

Step by step solution

01

Set the demand equal to the given value

For part (a), substitute the given price \( p = 139.50 \) into the demand function to get the equation: \[ 139.50 = 1000\left(1-\frac{5}{5+e^{-0.001 x}}\right) \]
02

Isolate the exponential portion of the equation

Rearrange the equation to solve for \( e^{-0.001x} \): \[ e^{-0.001 x} = \frac{5}{1-\frac{139.50}{1000}}-5 \]
03

Get the value of x

Take the natural logarithm (ln) of both sides of the equation to solve for \( x \): \[ x = -\frac{ln\left(\frac{5}{1-\frac{139.50}{1000}}-5\right)}{0.001} \] Use the same steps for (b) but substitute \( p = 99.99 \) into the demand function instead.
04

Graph the function

Use a graphing utility (like Desmos.com) to graph the demand function and confirm the results obtained in parts (a) and (b). Plot the points (\( p, x \)) for the solved values of \( x \) from parts (a) and (b) on the graph and verify that they lie on the function curve.

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Key Concepts

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

Exponential Functions
Exponential functions are widely used in various fields like finance, biology, and economics. These functions are characterized by variables that appear as exponents. In the context of our demand function, the term \( e^{-0.001x} \) exemplifies an exponential function. Here, \( e \) is the base of the natural logarithms, approximately equal to 2.71828.
Exponential functions grow rapidly as the variable increases, or decrease sharply when the exponent is negative. This attribute makes them ideal for modeling natural processes like growth and decay. For instance, in our demand function, the exponent decreases with an increase in demand \( x \). Such a setup models scenarios where demand dwindles as the price ceilings down.
Understanding how exponential functions work can facilitate comprehension of demand shifts, allowing for better forecasting and strategic decisions in business scenarios.
Natural Logarithm
The natural logarithm, represented as \( \ln \), is a logarithm with base \( e \). It's a fundamental concept in mathematics, helping convert intricate exponential functions into an easier algebraic form. In many cases, it simplifies the solving process, as seen in Step 3 of the original solution.
When dealing with exponential decay, like \( e^{-0.001x} \), taking the natural logarithm of both sides helps "unlock" the variable from the exponent. This process transforms a complex solution into a manageable linear problem. By applying the natural logarithm to both sides of our manipulated equation, we derive a formula to solve for \( x \).
Natural logarithms provide a way to solve exponential equations swiftly, making them especially useful in demand forecasting, where understanding price-demand relationships is crucial.
Graphing Utility
A graphing utility is a tool that helps visualize mathematical functions and their behaviors. In cases like our demand function, a graphing utility can verify calculated values by plotting them visually. This is crucial in confirming the demand \( x \) for specific prices, as done in part (c) of the original exercise.
Graphing utilities can range from sophisticated calculator features to online platforms like Desmos. These utilities allow one to input a function and see how variations in variables affect the output. In the demand function, plotting allows students to see the curve shape, demonstrating the relationship between price \( p \) and demand \( x \).
By graphically plotting the results obtained, students can visually verify their solutions, which supports understanding and ensures accuracy in complex calculations.

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Most popular questions from this chapter

The number \(A\) of varieties of native prairie grasses per acre within a farming region is approximated by the model \(A=10.5 \cdot 10^{0.04 x}, \quad 0 \leq x \leq 24\) where \(x\) is the number of months since the farming region was plowed. Use this model to approximate the number of months since the region was plowed using a test acre for which \(A=70\)

Domestic Demand The domestic demands \(D\) (in thousands of barrels) for refined oil products in the United States from 1995 to 2005 are shown in the table. (Source: U.S. Energy Information Administration)$$ \begin{array}{|c|c|} \hline \text { Year } & \text { Demand } \\ \hline 1995 & 6,469,625 \\ \hline 1996 & 6,701,094 \\ \hline 1997 & 6,796,300 \\ \hline 1998 & 6,904,705 \\ \hline 1999 & 7,124,435 \\ \hline 2000 & 7,210,566 \\ \hline \end{array} $$$$ \begin{array}{|c|c|} \hline \text { Year } & \text { Demand } \\ \hline 2001 & 7,171,885 \\ \hline 2002 & 7,212,765 \\ \hline 2003 & 7,312,410 \\ \hline 2004 & 7,587,546 \\ \hline 2005 & 7,539,440 \\ \hline \end{array} $$(a) Use a spreadsheet software program to create a scatter plot of the data. Let \(t\) represent the year, with \(t=5\) corresponding to 1995 . (b) Use the regression feature of a spreadsheet software program to find an exponential model for the data. Use the Inverse Property \(b=e^{\ln b}\) to rewrite the model as an exponential model in base \(e\). (c) Use the regression feature of a spreadsheet software program to find a logarithmic model \((y=a+b \ln x)\) for the data. (d) Use a spreadsheet software program to graph the exponential model in base \(e\) and the logarithmic model with the scatter plot. (e) Use both models to predict domestic demands in 2008 , 2009, and \(2010 .\) Do both models give reasonable predictions? Explain.

Use a graphing utility to solve the equation. Approximate the result to three decimal places. Verify your result algebraically.\(500-1500 e^{-x / 2}=0\)

Solve the logarithmic equation algebraically. Approximate the result to three decimal places.\(\log _{2}(2 x-3)=\log _{2}(x+4)\)

Endangered Species A conservation organization releases 100 animals of an endangered species into a game preserve. The organization believes that the preserve has a carrying capacity of 1000 animals and that the growth of the herd will be modeled by the logistic curve \(p=\frac{1000}{1+9 e^{-k t}}, \quad t \geq 0\) where \(p\) is the number of animals and \(t\) is the time (in years). The herd size is 134 after 2 years. Find \(k\). Then find the population after 5 years.

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