What is the Expected Value of X with Poisson Distribution?

[ArcanaNoir]

Homework Statement

Finding the expected value of x, with poisson distribution. I don't follow the sum. It goes like this:

E(x)= \sum_{x=0}^{\infty} \frac{xe^{-\lambda}\lambda^x}{x!}
= e^{-\lambda} \sum_{x=0}^{\infty} \frac{x\lambda^x}{x(x-1)!}
= \lambda e^{-\lambda} \sum_{x=1}^{\infty} \frac{\lambda^{x-1}}{(x-1)!}
= \lambda e^{-\lambda} \sum_{k=0}^{\infty} \frac{\lambda^{k}}{k!}
= \lambda e^{-\lambda}e^{\lambda} = \lambda


So basically the part I don't get is why they say
\sum_{k=0}^{\infty} \frac{\lambda^{k}}{k!} = e^{\lambda}

 

[micromass]

That is just the Taylor series expansion of e^x. Remember that

f(x)=\sum_{k=0}^{+\infty}{\frac{f^{(k)}(0)}{k!}x^k}

So if f(x)=e^x, then

e^x=\sum_{k=0}^{+\infty}{\frac{x^k}{k!}}

 

[ArcanaNoir]

Thanks micro. This chapter is going to be the death of me. All kinds of crazy sums that end up with specific values that I'm supposed to remember from two weeks in calc II. Doomed! I hate sums.