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Mathematics 21 Online
OpenStudy (sumeer):

a binomial coefficient approximation is needed.

OpenStudy (sumeer):

here is this.

OpenStudy (kainui):

What do you need your approximation for? This seems pretty good. You can approximate factorials with Sterling's approximation, and plug those in to the binomial I guess too.

OpenStudy (sumeer):

I should say I need to show this approximation. I attach what I did.

OpenStudy (kainui):

Oh, you probably shouldn't use Sterling's approximation if you want to prove that inequality.

OpenStudy (sumeer):

I still havent found the solution.. :/

DivineSolar (divinesolar):

Multiplicative formula? https://gyazo.com/9fbb96f73581654eaef0c52143695239

OpenStudy (anthony1914):

still need help

OpenStudy (dannyo19):

Remind me what the symbol before the n means?

OpenStudy (sumeer):

@Danny019 are you mentioning \[(1- \frac{ k}{ 2n })\]

OpenStudy (reemii):

By induction. For any \(n\ge 0\), we have: \(\forall k=0,1,\dots,n\), \(\binom{n}{k} \le \dotsb\) Fix, \(n=N+1\), then 1) \(\binom{N+1}{0} \le 1\) : ok. 2) the other cases: we have \(\binom{n+1}{k+1} = \frac{n+1}{k+1}\binom{n}{k}\). This and \((1-k/(2n)) = (2n - k)/(2n)\) should work.

OpenStudy (reemii):

* other cases: we have \(\binom{N+1}k+1{}\) etc. -> it's \(n\) or \(N+1\), not \(n+1\).

OpenStudy (reemii):

* \(\binom{N+1}{k+1}\) ...

OpenStudy (sumeer):

Its a clever approach.There are 3 cases to consider, one is n gets one bigger and k is fixed, and second is vice versa, and third is both gets one bigger. Proving for these cases finishes the proof. Thanks from my heart @reemii

OpenStudy (reemii):

I see it just as a 2-step procedure at most. It's a conventional induction proof. It's just that the step \(n=N+1\) requires to verify \(k+1\) inequalities (this is done by considering two cases).

OpenStudy (reemii):

Congratulations for finishing the proof

OpenStudy (sumeer):

Thanks.

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