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Solve the exponential equation algebraically. Approximate the result to three decimal places.\(7-2 e^{x}=6\)

Short Answer

Expert verified
The solution to the equation is \(x \approx -0.693\)

Step by step solution

01

Isolate the term with exponent

To isolate exponent term \(2 e^{x}\), subtract 6 from both sides of the equation \(7-2 e^{x}=6\), which gives: \(2 e^{x}=7-6 = 1\)
02

Eliminate 2 from the left side of equation

Divide both sides of the equation \(2 e^{x}=1\) by 2, resulting in: \(e^{x}=0.5\)
03

Apply natural logarithm to both sides

Applying a natural logarithm to both sides of the equation \(e^{x}=0.5\), we get: \(x = ln(0.5)\)
04

Approximate the result

Using a calculator to evaluate \(ln(0.5)\), approximate to three decimal places: \(x \approx -0.693 \)

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Key Concepts

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

Algebraic Methods in Calculus
Algebraic methods are at the core of solving calculus problems, particularly when dealing with limits, derivatives, and integrals. When faced with an exponential equation, such as the textbook exercise (7 - 2e^{x} = 6), algebra can help isolate the variable of interest before applying calculus techniques.

Firstly, we aim to get the term containing the variable alone, which typically involves basic operations such as addition, subtraction, multiplication, or division. In our exercise, we subtracted 6 from both sides to isolate (2e^{x}) and then divided by 2 to solve for (e^{x}). These algebraic manipulations pave the way for applying more advanced calculus concepts, such as taking logarithms or derivatives, to find the value of (x).
  • Identify and isolate terms with the variable
  • Use arithmetic operations to solve for the variable
  • Prepare the equation for calculus techniques (logarithms, derivatives...)
Natural Logarithms
Natural logarithms are a cornerstone of solving exponential equations, allowing us to 'unlock' the variable from the exponent. In the context of the given problem, once we've isolated (e^{x}) and equated it to 0.5, applying the natural logarithm to both sides is the next logical step. The natural logarithm is the inverse operation of raising (e) to a power, which means that (ln(e^{x}) = x).

By applying the natural logarithm to both sides of the equation, (ln(e^{x}) = ln(0.5)), we directly find the value of (x). This is because (ln(e^{x})) simplifies to (x), resulting in the equation (x = ln(0.5)). Here, the natural logarithm serves as an essential tool for solving exponential equations when the base is (e).
  • The natural logarithm is the inverse of the exponential function with base (e)
  • Applying (ln) to both sides of an equation can reveal the exponent
  • It's essential when dealing with exponential growth and decay problems
Exponential Equations Approximation
In scenarios where exact expressions are less practical or unnecessary, we approximate the values of exponential equations to a desired precision. After taking the natural logarithm and arriving at the equation (x = ln(0.5)), our final step involves approximating the result. Since ln(0.5) yields an irrational number, we round it to a fixed number of decimal places for easier interpretation and practicality.

Using a calculator or computational software, we find that (ln(0.5)) is approximately -0.693 to three decimal places. This level of precision is often sufficient in applied contexts, such as finance, physics, or engineering, where real-world measurements are inherently approximate. Approximation also simplifies the communication of results, making them more digestible.
  • Rounding irrational numbers to a fixed decimal place makes them usable
  • Approximation aligns mathematical results with real-world application
  • It facilitates easier comparison and discussion of computed values

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Most popular questions from this chapter

Solve the logarithmic equation algebraically. Approximate the result to three decimal places.\(\ln x-\ln (x+1)=2\)

Aged Population The table shows the projected U.S. populations \(P\) (in thousands) of people who are 85 years old or older for several years from 2010 to \(2050 . \quad\) (Source: U.S. Census Bureau)$$ \begin{array}{|c|c|} \hline \text { Year } & 85 \text { years and older } \\ \hline 2010 & 6123 \\ \hline 2015 & 6822 \\ \hline 2020 & 7269 \\ \hline 2025 & 8011 \\ \hline 2030 & 9603 \\ \hline 2035 & 12,430 \\ \hline 2040 & 15,409 \\ \hline 2045 & 18,498 \\ \hline 2050 & 20,861 \\ \hline \end{array} $$(a) Use a graphing utility to create a scatter plot of the data. Let \(t\) represent the year, with \(t=10\) corresponding to 2010 . (b) Use the regression feature of a graphing utility 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 a graphing utility to graph the exponential model in base \(e\). (d) Use the exponential model in base \(e\) to estimate the populations of people who are 85 years old or older in 2022 and in 2042 .

The number \(V\) of varieties of suburban nondomesticated wildlife in a community is approximated by the model \(V=15 \cdot 10^{0.02 x}, \quad 0 \leq x \leq 36\) where \(x\) is the number of months since the development of the community was completed. Use this model to approximate the number of months since the development was completed when \(V=50\).

Population The populations \(P\) of the United States (in thousands) from 1990 to 2005 are shown in the table. (Source: U.S. Census Bureau)$$ \begin{array}{|c|c|} \hline \text { Year } & \text { Population } \\ \hline 1990 & 250,132 \\ \hline 1991 & 253,493 \\ \hline 1992 & 256,894 \\ \hline 1993 & 260,255 \\ \hline 1994 & 263,436 \\ \hline 1995 & 266,557 \\ \hline 1996 & 269,667 \\ \hline 1997 & 272,912 \\ \hline \end{array} $$$$ \begin{array}{|c|c|} \hline \text { Year } & \text { Population } \\ \hline 1998 & 276,115 \\ \hline 1999 & 279,295 \\ \hline 2000 & 282,403 \\ \hline 2001 & 285,335 \\ \hline 2002 & 288,216 \\ \hline 2003 & 291,089 \\ \hline 2004 & 293,908 \\ \hline 2005 & 296,639 \\ \hline \end{array} $$(a) Use a graphing utility to create a scatter plot of the data. Let \(t\) represent the year, with \(t=0\) corresponding to 1990 . (b) Use the regression feature of a graphing utility 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 graphing utility to find a linear model and a quadratic model for the data. (d) Use a graphing utility to graph the exponential model in base \(e\) and the models in part (c) with the scatter plot. (e) Use each model to predict the populations in 2008 , 2009 , and 2010 . Do all models give reasonable predictions? Explain.

Solve the logarithmic equation algebraically. Approximate the result to three decimal places.\(\ln x+\ln (x+3)=1\)

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