I am hardly a mathematician, but I am trying to compute (in R, if that matters) and for $s, v > 0$ the expression
$_2F_1(s, s, s + 1, -v) \cdot v^s / s$.
(Why? I want to to evaluate $\int \frac{1}{(1 + \exp(-x))^s} dx$ over real $x$ and $s$, and Wolfram Alpha gave me this expression.)
For most numbers, this works fine. I hit problems when "$v = \infty$" (that is, $v > 1e308$), which I solved using the approximation
$\ln(v) - \psi(s) - \gamma$, which I can compute since $v = \exp(x)$.
Now, I hit further trouble in other extreme cases, e.g., $(v, s) = (1e4, 100)$. In this case, the result is approximately 4.04 (Wolfram Alpha), but of course I won't find that since $v^s = 1e400 >> 1e308$. Similarly, I won't be able to find the result of $_2F_1(s, s, s + 1, -v)$: it's pretty much zero for any standard floating point number.
So now I am looking for another approximation for large $s$, and I thought about looking at
$\lim_{s \to \infty} {_2}F_1(s, s, s + 1, -v) \cdot v^s / s$
or
$\lim_{s \to \infty} {_2}F_1(s, s, s + 1, -v) \cdot v^s$.
Can this be simplified? Or will this help in any other way?
This appeared as a comment, and upon the proper's suggestion, has been converted to an answer:
I would first look at the linear transformation formulas; e.g., Digital Library of Mathematical Functions, 15.8.1 One transformation puts the argument in the form of −v/(1+v), which is close to -1 for large positive v. Another formula, 15.8.2, puts the argument in terms of 1/v, so if v is always large,s bounded and not an integer, then the sum will be short and easy to calculate. Finally, it appears you have a situation where v and s are both large, so you may need to consult section 15.12