Consider the following integral:
$$I_k=\int_0^\infty \left(\text{sech}x\tanh\tfrac12x\right)^k\,dx$$
where $k\in\Bbb N$.
If we evaluate $I_1$, $I_2$, $I_3$, etc. we get the following pattern:
- $I_1=\log(2)$
- $I_2=-3+\pi$
- $I_3=\frac 72-5\log(2)$
- $I_4=22-7\pi$
- $I_5=-\frac{341}{12}+41\log(2)$
- $I_6=-\frac{968}{5}+\frac{493}{8}\pi$
- ...
From this data we can see that:
$$\begin{align} \pi&=3+I_2=\frac{22}{7}-\frac17 I_4=\frac{7744}{2465}+\frac{8}{493}I_6 \\[4pt] \log(2)&=0+I_1=\frac{7}{10}-\frac15I_3=\frac{341}{492}+I_5 \end{align}$$
And because $I_k$ decreases very rapidly($I_{10}$ is in the order of $1e6$) we can set $I_k\approx 0$ for high $k$ and we get rational approximations of both, $\pi$ and $\log(2)$, for $I_{2k}$ and $I_{2k+1}$, respectively, that apparently go on forever.
I see some equations that somehow "encode" the information of a given number, but how is it that this integral has the information of both $\pi$ and $\log(2)$, apparently unrelated numbers?
Thanks.
Probably not an answer but too long for the comment section.
You are considering $$I_k=\int_0^\infty \Big( \text{sech}(x) \tanh \left(\frac{x}{2}\right) \Big)^k \,dx$$ Let $x=2 \tanh ^{-1}(t)$ which makes $$J_k=\int \Big( \text{sech}(x) \tanh \left(\frac{x}{2}\right) \Big)^k \,dx=2 \int\left(1-t^2\right)^{k-1} \left(\frac{t}{1+t^2}\right)^k\,dt$$ that is to say $$J_k=2\frac{ t^{k+1}}{k+1}\, F_1\left(\frac{k+1}{2};1-k,k;\frac{k+3}{2};t^2,-t^2\right)$$ where appears the Appell hypergeometric function of two variables.
Integrating between $0$ and $1$, after simplification, this leads to $$I_k=\, _2\tilde{F}_1\left(k,\frac{k+1}{2};\frac{3 k+1}{2} ;-1\right)\, \Gamma (k)\, \Gamma \left(\frac{k+1}{2}\right)$$ where appears the regularized hypergeometric function.
As you noticed $I_{2k}=a_k-b_k \pi$ and $I_{2k+1}=c_k-d_k \log(2)$. So, for sure, if you make $I_k\sim \epsilon$, you have rational approximations of $\pi$ and $\log(2)$. The small problem I see is that they are not extremely accurate.
For example $$I_{20}=\frac{2357262305394688}{1119195}-\frac{21968591457761 \pi }{32768}\approx 1.7 \times 10^{-11}$$ would give as a rational approximation $$\pi \approx \frac{77242771223173136384}{24587137716568822395}=\color{red}{3.1415926535897932384}88023$$ while $$\pi \approx \frac{21053343141}{6701487259}=\color{red}{3.141592653589793238462}382$$ is better.
Similarly $$I_{21}= 4354393801 \log (2)-\frac{100374690765091043}{33256080}\approx 5.0 \times 10^{-12}$$ would give as a rational approximation $$\log(2)\approx \frac{100374690765091043}{144810068597560080}=\color{red}{0.69314718055994530941}60873$$ while $$\log(2)\approx \frac{34733068453}{50109225612}=\color{red}{0.693147180559945309417}8461$$ is better.