The closed-forms of the first three are well-known,
$$x_1=\sqrt{1+\sqrt{1+\sqrt{1+\sqrt{1+\dots}}}}\tag1$$ $$x_2=\sqrt[3]{1+\sqrt[3]{1+\sqrt[3]{1+\sqrt[3]{1+\dots}}}}\tag2$$ $$x_3=\sqrt{1+2\sqrt{1+3\sqrt{1+4\sqrt{1+\dots}}}}\tag3$$ $$x_4=\sqrt[3]{1+2\sqrt[3]{1+3\sqrt[3]{1+4\sqrt[3]{1+\dots}}}}=\;???\tag4$$
with $x_1$ the golden ratio, $x_2$ the plastic constant, and $x_3=3\,$ (by Ramanujan).
Questions:
- Trying to generalize $x_3$, what is the value of $x_4$ to a $100$ or more decimal places? (The Inverse Symbolic Calculator may then come in handy to figure out its closed-form, if any.)
- What is the Mathematica command to compute $x_4$?
P.S. This other post is related but only asks for its closed-form which resulted in speculation in the comments. (A method/code to compute $x_4$, and a verifiable numerical value is more desirable.)


We can compute it using backward recursion. Here is a sample Mathematica code:
Mathematica computes this as an expression which it evaluates in the end (i.e. it does not evaluate it to a floating point number in the loop). To guarantee that this matches the true result to $100$ digits one needs to try increasing and increasing
nmaxuntill convergence is seen. For examplenmax = 500andnmax = 250gives the same $100$ digits.$$\matrix{ 1.7022191326954580969240585907840134288409657961453\\ 43207531048888139480023128215942807076912940538302}$$
We can also use this to generate tex-code of the expression. For example taking
nmax = 9and addingx4 // TeXFormgives us this$$\sqrt[3]{1+2 \sqrt[3]{1+3 \sqrt[3]{1+4 \sqrt[3]{1+5 \sqrt[3]{1+6 \sqrt[3]{1+7 \sqrt[3]{1+8 \sqrt[3]{10}}}}}}}}$$
Here is some code to evaluate the minimum
nmaxsuch that we have convergence tondigitsdecimal digits. The idea is to increasenmaxby a factor of $2$ until we find convergence and then use bisection on the interval[nmax/2, ..., nmax]to find the minimal value. I'm sure this can be done much better/simpler in Mathematica, but anyway here it is:It turns out the
nmaxneeded to getndigitsprecision is almost exactly $n_{\rm max} = 2.1 n_{\rm digits}$.