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Write the expression as one logarithm. (a) \(\log _{3} x+\log _{3}(5 y)\) (b) \(\log _{3}(2 z)-\log _{3} x\) (c) \(\frac{1}{5} \log _{3} y\)

Short Answer

Expert verified
(a) \(\log_{3} (5xy)\); (b) \(\log_{3} \left(\frac{2z}{x}\right)\); (c) \(\log_{3} (y^{1/5})\)."

Step by step solution

01

Applying the Product Rule

The expression given is \(\log_{3} x + \log_{3} (5y)\). The Product Rule of logarithms states that \(\log_{b} a + \log_{b} c = \log_{b} (ac)\). Apply this to combine the logarithms: \(\log_{3} (x \cdot 5y)\). Simplify the expression to obtain \(\log_{3} (5xy)\).
02

Applying the Quotient Rule

The expression given is \(\log_{3} (2z) - \log_{3} x\). The Quotient Rule of logarithms indicates that \(\log_{b} a - \log_{b} c = \log_{b} \left(\frac{a}{c}\right)\). Apply this rule to the expression: \(\log_{3} \left(\frac{2z}{x}\right)\). This combines the two logarithms into one.
03

Applying the Power Rule

The expression given is \(\frac{1}{5} \log_{3} y\). The Power Rule of logarithms states that \(c \log_{b} a = \log_{b} (a^c)\). Apply this rule by rewriting the expression as \(\log_{3} (y^{1/5})\). This represents the expression as one logarithm.

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Key Concepts

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

Product Rule of Logarithms
When you're dealing with logarithms, one of the most handy tools in your mathematical toolkit is the product rule. This rule makes it super easy to combine two logarithms into a single one. The magic formula is:
  • \(\log_{b} a + \log_{b} c = \log_{b} (ac)\)
This means if you're adding two logs with the same base, you can multiply the inside parts of the logs together.
For example, let's consider the problem: \(\log_{3} x + \log_{3} (5y)\). When we apply the product rule here, we multiply \(x\) and \(5y\) together to get \(5xy\).
So, \(\log_{3} x + \log_{3} (5y)\) becomes \(\log_{3} (5xy)\), combining the two logarithms into just one. This step simplifies expressions, making them much easier to handle!
Quotient Rule of Logarithms
Another powerful tool for simplifying logarithms is the quotient rule. This rule helps us combine logs with a subtraction sign between them into a single expression. It goes like this:
  • \(\log_{b} a - \log_{b} c = \log_{b} \left(\frac{a}{c}\right)\)
The minus sign in front of the second log indicates a division.
For instance, consider the expression \(\log_{3} (2z) - \log_{3} x\). By using the quotient rule, you divide \(2z\) by \(x\).
Thus, this expression can be rewritten as \(\log_{3} \left(\frac{2z}{x}\right)\), changing two separate logarithms into one. This operation not only simplifies the expression but also makes it more digestible.
Power Rule of Logarithms
The power rule of logarithms is another neat trick that simplifies expressions involving logs. It allows us to take a coefficient in front of a log and convert it into an exponent inside the log. This conversion is achieved through:
  • \(c \log_{b} a = \log_{b} (a^{c})\)
This means that any constant in front of the log can become an exponent on the inside part of the logarithm.
Take the expression \(\frac{1}{5} \log_{3} y\) as an example. By applying the power rule, the \(\frac{1}{5}\) becomes the exponent in \(y\), written as \(y^{1/5}\).
So, \(\frac{1}{5} \log_{3} y\) is equivalent to \(\log_{3} (y^{1/5})\). This shift simplifies the expression into a singular logarithmic term, making calculations straightforward.

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Most popular questions from this chapter

In 1840 , Britain experienced a bovine (cattle and oxen) epidemic called epizooty. The estimated number of new cases every 28 days is listed in the table. At the time, the London Daily made a dire prediction that the number of new cases would continue to increase indefinitely. William Farr correctly predicted when the number of new cases would peak. Of the two functions $$\begin{array}{l}f(t)=653(1.028)^{t} \\\g(t)=54,700 e^{-(t-200)^{2} / 7500}\end{array}$$ and one models the newspaper's prediction and the other models Farr's prediction, where \(t\) is in days with \(t=0\) corresponding to August \(12,1840\). $$\begin{array}{|c|c|}\hline \text { Date } & \text { New cases } \\\\\hline \text { Aug. 12 } & 506 \\\\\hline \text { Sept. 9 } & 1289 \\\\\hline \text { Oct. 7 } & 3487 \\\\\hline \text { Nov. 4 } & 9597 \\\\\hline \text { Dec. 2 } & 18,817 \\\\\hline \text { Dec. 30 } & 33,835 \\\\\hline \text { Jan. 27 } & 47,191 \\\\\hline\end{array}$$ (a) Graph each function, together with the data, in the viewing rectangle \([0,400,100]\) by \([0,60,000,10,000]\) (b) Determine which function better models Farr's prediction. (c) Determine the date on which the number of new cases peaked.

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