I don't think wolframalpha says it is divergent:
https://www.wolframalpha.com/input?i=sum%28binomial%28-2%2F5%2C+n%29%2C+%28n%2C+1%2C+inf%29%29
It does not compute the sum in closed form but gives a formula for the
partial sums as
2^(-2/5)-1 + f(k)
where f(k) is something that goes to zero for large k.
SymPy gives the same partial sum formula in terms of 2F1 (hyper)
although it looks a little different with gamma functions:
In [29]: print(summation(binomial(S(-2)/5, n), (n, 1, k)))
(5/2 - 5*2**(3/5)/4)*gamma(3/5)/gamma(-2/5) - gamma(3/5)*hyper((1, k +
7/5), (k + 2,), -1)/(gamma(-k - 2/5)*gamma(k + 2))
I think SymPy and WolframAlpha are in agreement but just WA does not
compute a closed form for this particular sum whereas SymPy does get
the closed form but SymPy does not simplify the gamma functions as
nicely as WA does.
I think simplify here could be improved:
In [33]: e = summation(binomial(S(-2)/5, n), (n, 1, oo))
In [34]: print(e)
(5/2 - 5*2**(3/5)/4)*gamma(3/5)/gamma(-2/5)
In [35]: e.evalf()
Out[35]: -0.242141716744801
In [36]: 2**(-2/5)-1
Out[36]: -0.242141716744801
In [37]: print(simplify(e))
5*(2 - 2**(3/5))*gamma(3/5)/(4*gamma(-2/5))
Maybe gammasimp could handle this better somehow.
--
Oscar
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