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Question 2 (1 point) Translate from Logarithmic Form to exponential form: \( \log _{2}(8)=3 \) \( 2^{3}=8 \) \( 3^{2}=8 \) \( 8^{2}=3 \) \( 2^{8}=3 \)

Ask by Tran Mills. in the United States
Feb 21,2025

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\( 2^{3} = 8 \)

Solution

To translate the logarithmic form \( \log_{2}(8) = 3 \) into exponential form, we follow the definition of logarithms. The logarithmic equation states that the base (in this case, 2) raised to the power of the logarithm (which is 3) equals the argument of the logarithm (which is 8). This can be expressed as: \[ b^y = x \quad \text{where} \quad \log_b(x) = y \] In our case: - \( b = 2 \) - \( y = 3 \) - \( x = 8 \) Thus, we can write: \[ 2^3 = 8 \] Now, let's evaluate the other options to confirm which one is correct: 1. \( 2^{3} = 8 \) (This is correct) 2. \( 3^{2} = 8 \) (This is incorrect) 3. \( 8^{2} = 3 \) (This is incorrect) 4. \( 2^{8} = 3 \) (This is incorrect) The correct translation from logarithmic form to exponential form is: \[ \boxed{2^{3} = 8} \]

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The Deep Dive

Did you know that the logarithm was first introduced in the 16th century by Scottish mathematician John Napier? He created them to simplify calculations, particularly for astronomers, who had to deal with massive numbers every day. Now, instead of doing long multiplications and divisions, they could just add and subtract the logarithms of those numbers! To apply logarithmic principles in real life, think of how they are used in computer science! For instance, when discussing algorithms, logarithmic time complexity (like O(log n)) means that as data sets grow, the time taken to process those datasets grows much slower than the size of the dataset. It’s the secret behind the efficiency of binary search and similar algorithms—talk about a win-win!

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