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Are there good lower/upper bounds for $ \sum\limits_{i = 0}^k {\left( \begin{array}{l} n \\ i \\ \end{array} \right)x^i } $ where $0<x<1$, $k \ll n$?

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    $\begingroup$ The ratio of two consequtive summands is $\frac{a_i}{a_{i-1}}=\frac{n-i+1}{i}x$ is unimodular. So you'll easily find the largest summand. And it is an upper bound for the whole sum (up to some constant), because another terms decrease not slower than geometric progression. $\endgroup$ Commented Jan 6, 2018 at 10:01
  • $\begingroup$ BTW you can typeset binomial coefficient as \binom ni $\binom ni$. If you want bigger size, you can use \dbinom ni $\dbinom ni`$. (But I would not recommend the latter in the title. $\endgroup$ Commented Jan 6, 2018 at 10:06
  • $\begingroup$ @AlexeyUstinov I doubt about geometric progression. Say, if $x=k/n$, the sum is approximately 1/2, but each summand is much less. $\endgroup$ Commented Jan 6, 2018 at 10:19
  • $\begingroup$ (Sorry, I was thinking about a different sum $\sum \binom{n}i x^i (1-x)^{n-i}$, which is reduced to this sum and vice versa via introducying $x/(1-x)$ as a new variable). $\endgroup$ Commented Jan 6, 2018 at 10:26
  • $\begingroup$ related to :mathoverflow.net/q/55585/51189 $\endgroup$ Commented Jan 6, 2018 at 12:40

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Write $x=p/(1-p)$ and then $$ \sum_{i=0}^k \binom ni x^i = (1-p)^{-n}\sum_{i=0}^k \binom ni p^k(1-p)^{n-k}.$$ The last sum is the cumulative binomial distribution, which has no exact formula (except as a special function) but a large literature on bounds. It is quite a common topic on Mathoverflow, see these for example: ref1 ref2 ref3 ref4 ref5

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Let $p=\frac{x}{1+x}$ and $q=\frac{1}{1+x}$, and thus $$\sum_{i=0}^k \binom{n}{i} x^i=(1+x)^n\sum_{i=n-k}^n \binom{n}{i} p^{n-i} q^i.$$ Then for $k<np$ Chernoff bound gives $$\sum_{i=n-k}^n \binom{n}{i} p^{n-i} q^i \le \left( \frac{nq}{n-k}\right)^{n-k} e^{np-k}.$$ That is, $$\sum_{i=0}^k \binom{n}{i} x^i \le (1+x)^k \left( \frac{n}{n-k}\right)^{n-k} e^{\frac{(n-k)x-k}{1+x}}.$$

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Hint :for lower Bound we have for $k> 1$:$ (1+\frac{1}{k})^k \leq (e^{1/k})^k =e ,0<x=1/k<1$ , and $1/k << k $

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