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Determine whether each equation is true or false. Where possible, show work to support your conclusion. If the statement is false, make the necessary change(s) to produce a true statement. $$ \log _{6}[4(x+1)]=\log _{6} 4+\log _{6}(x+1) $$

Short Answer

Expert verified
The given statement \( \log_{6}{[4(x+1)]} = \log_{6}{4} + \log_{6}{(x+1)} \) is true, as it complies with the product rule of logarithms.

Step by step solution

01

Recognize the Product Rule of Logarithms

The product rule of logarithms states that \( log_b(MN) = log_b(M) + log_b(N) \). We can see that the given equation is in this form, where \( M=4 \) and \( N=x+1 \). We will compare the left and right sides of the equation to see if it holds true.
02

Determine the Equality of the Sides

The left side of the equation is \( log_6{[ 4(x+1) ]} \), and the right side is \( log_6{4} + log_6{(x+1)} \). According to the product rule, these should be equal. Thus the statement as it is, is true.

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Key Concepts

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

Logarithm Properties
Understanding the properties of logarithms is crucial in simplifying logarithmic expressions and solving logarithmic equations. The logarithm, often denoted as \( \log_b(x) \), where \( b \) is the base and \( x \) is the argument, has several key properties. One of the fundamental properties is the Product Rule of Logarithms, which states that the logarithm of a product is equal to the sum of the logarithms of the factors, mathematically represented as \( \log_b(MN) = \log_b(M) + \log_b(N) \).

Other important properties include:
  • Quotient Rule: \( \log_b(\frac{M}{N}) = \log_b(M) - \log_b(N) \), expressing the logarithm of a quotient.
  • Power Rule: \( \log_b(M^k) = k \cdot \log_b(M) \), which extends to taking the logarithm of a power.
  • Change of Base Formula: allows one to rewrite logarithms in terms of any other base, commonly expressed as \( \log_b(x) = \frac{\log_c(x)}{\log_c(b)} \), where \( c \) is a new base.
  • Base Identity: \( \log_b(b) = 1 \) and \( \log_b(1) = 0 \), which reflect the fact that any base raised to the power of zero equals one, and any base raised to the power of one equals the base itself.
These properties enable us to transform and manipulate logarithmic expressions, making complex calculations more manageable and to solve logarithmic equations effectively.
Logarithm Equations
When working with logarithm equations, the goal is often to find the value of the unknown that makes the equation true. To solve logarithmic equations, one must be familiar with the properties of logarithms, as they provide the tools required to isolate the variable of interest.

For instance, logarithmic equations might require the use of the product rule to combine logs, the quotient rule to split logs, or the power rule to deal with exponents. One common method involves consolidating the logarithmic expressions to one side of the equation and simplifying using the aforementioned properties. Then, the next step may involve exponentiating to remove the logarithm and solve for the variable.

Consider this typical approach when faced with an equation like \( \log _{b}(x) = n \). To solve for \( x \), one would exponentiate both sides with the base \( b \), yielding \( x = b^n \), thereby removing the logarithm and finding the solution for the unknown.
Verifying Logarithmic Identities
A logarithmic identity is a statement that holds true for all valid values of the variables involved. When verifying logarithmic identities, one must apply the properties of logarithms to prove that the identity is consistent on both sides of the equation.

To verify an identity, one often begins by transforming one or both sides of the equation using the logarithm properties until they look identical. For example,
  • If the left side of an identity involves \( \log_b(MN) \), and the right side includes \( \log_b(M) + \log_b(N) \), using the product rule can show that the identity is true.
  • Alternatively, if the equation seems to violate a known logarithmic property, one can manipulate the equation to make it comply, or determine the conditions under which the statement is faulty and correct it.

In solving the provided exercise, by recognizing the product rule, we determined that \( \log _{6}[4(x+1)] \) correctly equals \( \log _{6} 4 + \log _{6}(x+1) \) affirming the identity. Such practice is vital in not only verifying logarithmic identities but also in building a strong foundation in understanding the underlying principles that govern the behavior of logarithmic functions.

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Most popular questions from this chapter

In Example I on page \(520,\) we used two data points and an exponential function to model the population of the United States from 1970 through 2010 . The data are shown again in the table. Use all five data points to solve Exercises \(66-70\). $$ \begin{array}{cc} {x, \text { Number of Years }} & {y, \text { U.S. Population }} \\ {\text { after } 1969} & {\text { (millions) }} \\ {1(1970)} & {203.3} \\ {11(1980)} & {226.5} \\ {21(1990)} & {248.7} \\ {31(2000)} & {281.4} \\ {41(2010)} & {308.7} \end{array} $$ a. Use your graphing utility's exponential regression option to obtain a model of the form \(y=a b^{x}\) that fits the data. How well does the correlation coefficient, \(r,\) indicate that the model fits the data? b. Rewrite the model in terms of base \(e .\) By what percentage is the population of the United States increasing each year?

Determine whether each statement makes sense or does not make sense, and explain your reasoning. Because logarithms are exponents, the product, quotient, and power rules remind me of properties for operations with exponents.

In Example I on page \(520,\) we used two data points and an exponential function to model the population of the United States from 1970 through 2010 . The data are shown again in the table. Use all five data points to solve Exercises \(66-70\). $$ \begin{array}{cc} {x, \text { Number of Years }} & {y, \text { U.S. Population }} \\ {\text { after } 1969} & {\text { (millions) }} \\ {1(1970)} & {203.3} \\ {11(1980)} & {226.5} \\ {21(1990)} & {248.7} \\ {31(2000)} & {281.4} \\ {41(2010)} & {308.7} \end{array} $$ Use your graphing utility's linear regression option to obtain a model of the form \(y=a x+b\) that fits the data. How well does the correlation coefficient, \(r,\) indicate that the model fits the data?

Write an equation in point-slope form and slope-intercept form of the line passing through \((1,-4)\) and parallel to the line whose equation is \(3 x-y+5=0 .\)

Use your graphing utility to graph each side of the equation in the same viewing rectangle. Then use the \(x\) -coordinate of the intersection point to find the equation's solution set. Verify this value by direct substitution into the equation. $$ 5^{x}=3 x+4 $$

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