I know there's no closed form for the following but I need an approximation (preferably, an upper bound). $$\sum_{i=1}^k \left( \begin{array}{c} n\\ i \end{array} \right) $$
Any help will be appreciated. Regards.
I know there's no closed form for the following but I need an approximation (preferably, an upper bound). $$\sum_{i=1}^k \left( \begin{array}{c} n\\ i \end{array} \right) $$
Any help will be appreciated. Regards.
Assuming you want upper bounds when $n$ is large, you can always use the Stirling approximation given here : $$ \sum_{i=1}^k \binom ni = \sum_{i=1}^k \frac{n!}{i! (n-i)!} \\ \le \sum_{i=1}^k \frac 1{i!} \left( \frac{n^{n+\frac 12} e^{-n+1}}{\sqrt{2\pi} (n-i)^{(n-i)+\frac 12} e^{-(n-i)}} \right) \\ = \frac e{\sqrt{2\pi}} \sum_{i=1}^k \frac {(n/e)^i}{i!} \frac{n^{n-i+\frac 12}}{(n-i)^{n-i+\frac 12}} \\ = \frac e{\sqrt{2\pi}} \sum_{i=1}^k \frac {(n/e)^i}{i!} \left( 1- \frac i{n-i} \right)^{n-i+\frac 12} \\ \le \frac e{\sqrt{2\pi}} \sum_{i=1}^k \frac {(n/e)^i}{i!} \\ \le \frac {e}{\sqrt{2\pi}} (e^{n/e}-1). $$ That last bound seems pretty horrible, but I just wanted to give some ideas. Perhaps you could stop before that (or instead of bounding the $(1-x)^r$ factor by $1$, using Bernoulli's inequality) ; I don't know for what purposes you need this bound so I don't know if it is enough.
Hope that helps,
What about this for even $n$ (source: Discrete Math by J. Gallier, proposition 4.16)?
$$\sum_{i=0}^k {n \choose i} < 2^{n-1} \frac{{n \choose k+1}}{{n \choose n/2}}$$
From binomial theorem,
$$(x+y)^n = \displaystyle\sum_{k=0}^n {n\choose k}x^{n-k}y^k$$
Set $x=y=1$. So you have $2^n = \displaystyle\sum_{k=0}^n {n\choose k}$. But notice your requirement is that the sum starts from $k=1$, not $k=1$. So we take the case when $k=0$, and that is just 1. So the result of your question is $2^n-1$.