I'm trying to solve the following equation for $\delta$:
$$-0.01 = \frac{\ln(1+\delta)}{\ln{\delta}}$$
And I found that while Wolfram Alpha and Mathematica can give me numerical estimates ($\delta = 0.034300977...$), they cannot give me a closed form solution (even including the non-elementary functions that they'll sometimes use.)
Is there a closed-form solution to the problem above, or the more general version below? $$y = \frac{\ln(a+x)}{\ln(b+x)}$$
Or is this a case where there isn't a solution and moreover determining one would require a new function unrelated to those already established (such as the Lambert W function).
I have not taken Complex Analysis, or any other math higher than Differential Equations; however, depending on the complexity I may be able to follow along.
Full context and motivation:
A problem from my undergrad Nuclear Detection course: Given exponentially decaying signals of the form $f(t) = K\mathrm{e}^{-\mu t}$ that are generated periodically with period $x$. We can find the smallest $x$ such that signal pileup is less than 1%, we can see that $1.01 = \sum_n^\infty{\mathrm{e}^{-\mu n x}}$ which yields $x = \frac{\ln{101}}{\mu}$ after some massaging.
However, I noticed that in this instance, neglecting all but the first two terms of the series (ie, 1 and $\mathrm{e}^{-\mu x}$), gave the result $x^{\prime} = \frac{\ln{100}}{\mu}$ for an error percentage between $x^{\prime}$ and $x$ of only 0.216%. So I wanted to figure out what percentage of pileup was required before more than just these terms were required. I selected 1% as my threshold. So I had $$\frac{x}{x^{\prime}} = \frac{\ln(1+\delta) - \ln{\delta}}{-\ln{\delta}}$$ which gives the first formula of the question.
$OMG(x; a, b) = \frac{\ln{a+x}}{\ln{b+x}}$
. $\endgroup$ – OmnipotentEntity Sep 4 '16 at 2:32