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Write the logarithm in terms of natural logarithms.\(\log _{2} m\)

Short Answer

Expert verified
\(\frac{\ln m}{\ln 2}\)

Step by step solution

01

Identify the given log expression

The given logarithmic expression is \(\log _{2} m\)
02

Convert using change of base formula

The change of base formula states that for any logarithm: \(\log_b a = \frac{\ln a}{\ln b}\). Apply this to the given problem and we get \(\frac{\ln m}{\ln 2}\).

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Key Concepts

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

Natural Logarithms
Natural logarithms are an essential part of higher mathematics. These logarithms are usually written as \( \ln x \), which represents the logarithm of \( x \) using the base \( e \), where \( e \) is approximately equal to 2.71828.
Natural logarithms often arise in calculations involving exponential growth and decay, due to their convenient properties. For instance, they transform multiplication into addition and powers into products.
  • The function \( \ln e = 1 \) since \( e^1 = e \).
  • Similarly, \( \ln 1 = 0 \) as any number to the power of zero is 1.
Natural logarithms are widely used in various fields, such as biology, economics, and engineering, because they reflect natural behaviors in exponential processes.
Change of Base Formula
The change of base formula is a helpful tool in converting logarithms from one base to another. This is especially useful when dealing with calculators or software that primarily support natural logarithms or base 10 logarithms.
For a logarithm of the form \( \log_b a \), the change of base formula allows you to write it using natural logarithms as:\[ \log_b a = \frac{\ln a}{\ln b} \]
This formula is beneficial because it enables you to work with bases that may not be readily available in your calculator. For example, converting \( \log_2 m \) to natural logarithms using this formula helps calculate the logarithm using readily accessible functions.
Using natural logarithms expands the versatility and the range of mathematical problems you can solve effectively.
Logarithmic Expressions
Logarithmic expressions appear when you work with challenging mathematical problems that require simplifying multi-step calculations.
A logarithmic expression can take different forms depending on its base. The base tells you the amount needed to raise to reach a certain number. For instance, in \( \log_2 m \), the base is 2. This expression determines what power of 2 equals \( m \).
  • Changing bases can simplify calculations and make complex problems more manageable.
  • This is why the change of base formula is so helpful, as it allows for easier computation by using common bases like \( e \) or 10.
Furthermore, understanding logarithmic expressions is crucial for comprehending the behavior of exponential functions, growth rates, and patterns in data analysis, making them indispensable in various academic and practical applications.

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Most popular questions from this chapter

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.

Classify the model as an exponential growth model or an exponential decay model.\(y=20 e^{-1.5 t}\)

Solve for \(y\) in terms of \(x\).\(\ln y=\ln (2 x+1)+\ln 1\)

Solve the logarithmic equation algebraically. Approximate the result to three decimal places.\(\log _{4} x-\log _{4}(x-1)=\frac{1}{2}\)

Solve the exponential equation algebraically. Approximate the result to three decimal places.\(\frac{400}{1+e^{-x}}=350\)

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