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Write the logarithm in terms of natural logarithms.\(\log _{7.1} x\)

Short Answer

Expert verified
\(\log_{7.1}(x) = \frac{\ln(x)}{\ln(7.1)}\)

Step by step solution

01

Identifying the values

In this problem, we have \(\log_{7.1}(x)\) where \(b = 7.1\) and \(a = x\). We want to rewrite this in terms of natural log, which means \(d = e\) or the base of our new logarithm will be the natural logarithm 'e'.
02

Applying the Change of Base Formula

We apply the change of base formula to our logarithmic expression. This means our expression \(\log_{7.1}(x)\) turns into \(\frac{\log_e(x)}{\log_e(7.1)}\). In logarithmic terms, \(\log_e\) is typically written as \(\ln\). So, our expression turns into: \(\frac{\ln(x)}{\ln(7.1)}\)
03

Final Expression

So, we have successfully written our \(\log_{7.1}(x)\) in terms of natural logarithms. The final expression is \(\frac{\ln(x)}{\ln(7.1)}\). This is the end of the process as it completes the transformation of the base 7.1 logarithm to a natural logarithm.

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Key Concepts

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

Understanding Natural Logarithm
The natural logarithm, denoted as \(\ln\), is a special type of logarithm where the base is the irrational number \(e\), approximately equal to 2.71828. It is widely used in mathematics to simplify expressions, model exponential growth or decay, and solve differential equations. Natural logarithms appear frequently in calculus and continuous growth models because the base \(e\) has unique properties that make calculations more convenient.

When you see \(\ln(x)\), it represents the power to which the base \(e\) must be raised to obtain the number \(x\). For instance, if \(\ln(x) = 2\), it means that \(e\) raised to the power of 2 equals \(x\), so \(e^2 = x\). Understanding and using natural logarithms helps in breaking down complex equations and making them easier to handle. They are especially beneficial in economic models, population studies, and physics.
Exploring the Change of Base Formula
The change of base formula is an essential tool in logarithms that allows you to rewrite logarithms in terms of different bases. This is particularly useful when calculators and computers primarily use base 10 or base \(e\) (natural logarithms). The formula is used to convert any logarithm \(\log_b(a)\) into another base, typically \(e\) or 10. The formula is:

\[ \log_b(a) = \frac{\log_k(a)}{\log_k(b)} \]

This formula shows that you can express a logarithm with any base \(b\) as a ratio of two logarithms with the same base \(k\), where \(k\) can be any positive number such as 10 or \(e\).

For example, to convert \(\log_{7.1}(x)\) to the natural logarithm form using base \(e\), apply the formula:

\[ \log_{7.1}(x) = \frac{\ln(x)}{\ln(7.1)} \]

This expression allows you to evaluate logarithms with bases that are not typically available on standard calculators.
The Basics of Logarithms
Logarithms are the inverse operations of exponentiation. They provide answers to questions like "to what power should a base number be raised to produce a given number?" If you understand powers and exponential growth, you will likely have an easier time understanding logarithms.

Let's start with base 10 logarithms, commonly written as \(\log(x)\). When you see \(\log(x)\), it means you’re finding the exponent \(y\) in \(10^y = x\). Logarithms take this form because they solve for exponents directly, simplifying the process of working backwards from exponentiation.

Basic properties of logarithms include:
  • \(\log_b(b) = 1\) because any base raised to 1 is itself.
  • \(\log_b(1) = 0\) because any base raised to 0 is 1.
  • \(\log_b(x \cdot y) = \log_b(x) + \log_b(y)\).
  • \(\log_b\left(\frac{x}{y}\right) = \log_b(x) - \log_b(y)\).
  • \(\log_b(x^n) = n\cdot \log_b(x)\).

Understanding these properties will help you manipulate expressions and solve problems that involve logarithms, facilitating easier calculation and deeper comprehension of exponential relationships.

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Most popular questions from this chapter

Population The population \(P\) of a city is given by \(P=120,000 e^{0.016 t}\) where \(t\) represents the year, with \(t=0\) corresponding to 2000\. Sketch the graph of this equation. Use the model to predict the year in which the population of the city will reach about 180,000

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

Solve for \(y\) in terms of \(x\).\(\log _{10} y=2 \log _{10}(x-1)-\log _{10}(x+2)\)

Super Bowl Ad Revenue The table shows Super Bowl TV ad revenues \(R\) (in millions of dollars) for several years from 1987 to 2006. (Source: TNS Media Intelligence)$$ \begin{array}{|c|c|} \hline \text { Year } & \text { Revenue } \\ \hline 1987 & 31.5 \\ \hline 1992 & 48.2 \\ \hline 1997 & 72.2 \\ \hline 2002 & 134.2 \\ \hline 2006 & 162.5 \\ \hline \end{array} $$(a) Use a spreadsheet software program to create a scatter plot of the data. Let \(t\) represent the year, with \(t=7\) corresponding to 1987 . (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 a spreadsheet software program to graph the exponential model in base \(e\). (d) Use the exponential model in base \(e\) to predict the Super Bowl ad revenues in 2009 and in 2010 .

Solve the logarithmic equation algebraically. Approximate the result to three decimal places.\(\ln 2 x=2.4\)

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