B Wolfram Alpha's Why the 2 i π n?

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Wolfram Alpha provides the solution x = (log(y/a) + 2 i π n)/b for the equation y = a * e^(b*x), incorporating the term '2 i π n' to account for all possible complex solutions. The logarithm function has multiple branches in the complex plane, leading to these additional solutions. The original solution x = log(y/a)/b represents only the real solution, while Wolfram's answer includes both real and complex solutions. The complex exponential e^(2iπn) simplifies to 1, confirming that these solutions are valid. Thus, Wolfram Alpha's approach is more comprehensive, offering a complete set of solutions.
OmCheeto
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Was going through an old spreadsheet and I re-did some math that I had originally noted that I had done incorrectly. It seemed trivially simple but I wanted to double check with Wolfram to make sure I wasn't missing something.

Here's what I typed in: solve for x when y = a * e^(b*x)

Wolfram Alphas solution: x = (log(y/a) + 2 i π n)/b and a!=0 and y!=0 and b!=0 and n element Z

Why did Wolfram Alpha add the ‘2 i π n’ ?
My solution was x = log(y/a)/b
 
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Wolfram is giving you all the solutions, including complex solutions. The logarithm function has several branches in the complex plane, each with a valid solution. If you were not expected to know about the complex solutions, then your single solution was the expected one. Otherwise, the Wolfram answer is better.
 
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Plug the answer back in to your formula.$$\begin{eqnarray*}
y&=&ae^{b(\log(y/a)+2i\pi n)/b}\\
&=&ae^{\log(y/a)}e^{2i\pi n}\\
&=&ye^{2i\pi n}
\end{eqnarray*}$$The extra exponential on the right is a complex exponential - it turns out that ##e^{i\phi}=\cos(\phi)+i\sin(\phi)##. And that means that ##e^{2i\pi n}=1##, so the right hand side in my third line above is also equal to ##y##.

As FactChecker says, Wolfram is providing all solutions, including complex ones. The ##n=0## solution is the same as yours and is the only real solution. But ##n=\ldots,-3,-2,-1,1,2,3,\ldots## complex solutions also satisfy the requirements you gave Wolfram.
 
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Thanks!
 
I have been insisting to my statistics students that for probabilities, the rule is the number of significant figures is the number of digits past the leading zeros or leading nines. For example to give 4 significant figures for a probability: 0.000001234 and 0.99999991234 are the correct number of decimal places. That way the complementary probability can also be given to the same significant figures ( 0.999998766 and 0.00000008766 respectively). More generally if you have a value that...

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