Prove Probability: Step-by-Step Guide

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    Probability Proof
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Discussion Overview

The discussion revolves around proving a probability-related statement using the binomial theorem. Participants explore various approaches to connect summation expressions to the concept of probability, particularly focusing on the binomial coefficients and their implications.

Discussion Character

  • Exploratory
  • Mathematical reasoning
  • Technical explanation

Main Points Raised

  • One participant expresses uncertainty about how to begin the proof.
  • Another participant introduces the binomial theorem and suggests evaluating it at specific values to derive a result.
  • A different participant reiterates the binomial theorem but indicates that the explanation does not clarify their confusion.
  • One participant proposes a summation involving binomial coefficients and derives a relationship using symmetry in binomial coefficients.
  • Another participant offers a calculus-based proof involving derivatives of the binomial expansion, leading to a connection with the summation of binomial coefficients.
  • A later reply emphasizes the importance of connecting the summation to the result of \(2^n\) through the binomial theorem, reiterating the evaluation at \(x=1\) and \(y=1\).

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best approach to the proof, and multiple methods are presented without agreement on which is preferable or more effective.

Contextual Notes

Some participants express that the connections made are not immediately helpful, indicating potential gaps in understanding or assumptions about prior knowledge of the binomial theorem and its applications.

Niamh1
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View attachment 6593

Prove the following

I literally have no idea where to start or what to do.
 

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Hi there. :)

The binomial theorem states that $$(x+y)^n = \sum_{k=0}^{n}\binom{n}{k}x^ky^{n-k}$$. What happens if you let $x=1$ and $y=1$?
 
Jameson said:
Hi there. :)

The binomial theorem states that $$(x+y)^n = \sum_{k=0}^{n}\binom{n}{k}x^ky^{n-k}$$. What happens if you let $x=1$ and $y=1$?

Doesn't really help me to be honest.
 
Hi Niamh,

Let $S = \sum_{r = 1}^n r\binom{n}{r}$. Then

$$S = 0\binom{n}{0} + 1\binom{n}{1} + 2\binom{n}{2} + \cdots + (n-1)\binom{n}{n-1} + n\binom{n}{n}$$
$$S = n\binom{n}{n} + (n-1)\binom{n}{n-1} + \cdots + 1\binom{n}{1} + 0\binom{n}{0}$$

Using the fact that $\binom{n}{r} = \binom{n}{n-r}$ for $0 \le r \le n$, add the two equations column-wise, then use the binomial theorem, to obtain $2S = n2^n$. Dividing by $2$ yields the result.
 
Here's another easy proof using calculus:

$$(x+1)^n=\sum_{r=0}^n{{n}\choose{r}}x^r$$

Take derivatives:

$$n(x+1)^{n-1}=\sum_{r=1}^nr{{n}\choose{r}}x^{r-1}$$

Eavaluate at x=1:

$$n2^{n-1}=\sum_{r=1}^nr{{n}\choose{r}}=\sum_{r=0}^nr{{n}\choose{r}}$$
 
Niamh said:
Doesn't really help me to be honest.

Hi Niamh,

My post and the two below show the main connection you need, that is how to connect the summation sign to something resembling $2^n$. At first glance this is a quite strange equation and the key is the binomial theorem as I mentioned. If you let $x=1$ and $y=1$ you get:

$$(x+y)^n =(1+1)^n=2^n= \sum_{k=0}^{n}\binom{n}{k}x^ky^{n-k}=\sum_{k=0}^{n}\binom{n}{k}1^k1^{n-k}=\sum_{k=0}^{n}\binom{n}{k}$$

Using this trick we have now connected $2^n$ to something with this summation. That was the idea behind my post. :)

What have you tried?
 

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