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Use properties of logarithms to condense each logarithmic expression. Write the expression as a single logarithm whose coefficient is \(1 .\) Where possible, evaluate logarithmic expressions. $$\ln x+\ln 7$$

Short Answer

Expert verified
So, \( \ln x + \ln 7 \) can be condensed to a single logarithm with a coefficient of 1, which is \( \ln (7x) \)

Step by step solution

01

Identify the rule to apply

Identify that the property of logarithms that relates to this exercise is the product rule - \( \ln a + \ln b = \ln (ab) \). This rule allows the addition of logarithmic expressions to be written as a single logarithm of their multiplied values.
02

Apply the rule

Apply the product rule to \( \ln x + \ln 7 \), which means the expression can be rewritten as \( \ln (x * 7) \) or \( \ln (7x) \).
03

Simplify Expression

There is no further simplification possible as x is an unknown. Therefore the final, simplified equation is \( \ln (7x) \).

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Key Concepts

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

Logarithmic Expressions
To understand the nuances of logarithms, first, we must grasp what logarithmic expressions are. A logarithmic expression typically looks like this: \( \log_b a \) where \( b \) is the base, \( a \) is the argument of the logarithm, and the whole expression represents the power to which we must raise the base in order to obtain \( a \). In simpler terms, if we have \( b^x = a \) then \( \log_b a = x \). Logarithms have several intriguing properties which help in simplifying complex expressions into more manageable forms. An understanding of these properties is essential in fields like mathematics, physics, and engineering where exponential relationships are common.

In our example, \(\ln x + \ln 7\) each term is a logarithmic expression where the natural logarithm 'ln' implies that the base is the special number \( e \) (approximately 2.71828). The natural logarithm is particularly useful in solving problems involving growth and decay, such as those found in biology and economics.
Condensing Logarithms
Condensing logarithms refers to the process of combining multiple logarithmic terms into a single expression. This simplification is achieved by using the properties of logarithms. Why is this useful? For one, it can make solving equations easier since you're dealing with fewer terms. Also, in calculus and other advanced fields, a condensed logarithmic form is often necessary to apply certain rules and theorems.

For example, when faced with an expression like \(\ln x + \ln 7\), we can condense it using the product rule of logarithms. This rule states that the sum of two logarithms with the same base can be rewritten as the logarithm of the product of their arguments. Thus, \(\ln x + \ln 7 = \ln (x * 7) = \ln (7x)\), which is a much neater and condensed version of the original expression.
Product Rule of Logarithms
The product rule is one of the foundational rules for working with logarithms. It tells us that the sum of two logarithms (bearing the same base) is equivalent to the logarithm of the product of their respective numerals. Mathematically this is expressed as \(\log_b (m) + \log_b (n) = \log_b (mn)\). It's a handy rule because it simplifies the process of multiplication into addition, which is generally easier to handle.

Applying the Product Rule

When looking at our example \(\ln x + \ln 7\), applying the product rule, we combine the two separate logarithms into a single log expression by multiplying their arguments (\(x\) and \(7\)), resulting in \(\ln (7x)\). This is a clear testament to the power of logarithmic rules in streamlining expressions and solving problems that may otherwise seem intimidating. Remember, the key to using the product rule effectively lies in ensuring that the logarithms involved share the same base.

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Most popular questions from this chapter

U.S. soldiers fight Russian troops who have invaded New York City. Incoming missiles from Russian submarines and warships ravage the Manhattan skyline. It's just another scenario for the multi-billion-dollar video games Call of Duty, which have sold more than 100 million games since the franchise's birth in 2003 . The table shows the annual retail sales for Call of Duty video games from 2004 through 2010 . Create a scatter plot for the data. Based on the shape of the scatter plot, would a logarithmic function, an exponential function, or a linear function be the best choice for modeling the data? $$\begin{array}{l|c} \hline \text { Annual Retail Sales for } \text {Call of Duty Games} \\ \hline \text { Year } & \begin{array}{c} \text { Retail Sales } \\ \text { (millions of dollars) } \end{array} \\ \hline 2004 & 56 \\ \hline 2005 & 101 \\ \hline 2006 & 196 \\ \hline 2007 & 352 \\ \hline 2008 & 436 \\ \hline 2009 & 778 \\ \hline 2010 & 980 \\ \hline \end{array}$$

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The function \(P(t)=145 e^{-0.092 t}\) models a runner's pulse, \(P(t),\) in beats per minute, \(t\) minutes after a race, where \(0 \leq t \leq 15 .\) Graph the function using a graphing utility. [TRACE] along the graph and determine after how many minutes the runner's pulse will be 70 beats per minute. Round to the nearest tenth of a minute. Verify your observation algebraically.

I can solve \(4^{x}=15\) by writing the equation in logarithmic form.

Factor completely: $$6 x^{2}-8 x y+2 y^{2}$$ (Section 6.5, Example 8)

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