Finding the exact value of a summation.

  • Thread starter Thread starter NATURE.M
  • Start date Start date
  • Tags Tags
    Summation Value
Click For Summary
The summation Σ(from x=0->∞) [(x^2)(2^x)]/x! is analyzed in the context of Poisson distributions and their expected values. Initial attempts suggested the sum diverges, but further discussion indicates it is actually convergent, as confirmed by a ratio test. The confusion arises around the term x^2, which can be addressed using techniques like homogeneous differentiation. A hint suggests that incorporating an e^-2 factor relates to the expected value of a Poisson distribution. The exact value of the sum is ultimately determined to be 6 through proper application of these mathematical concepts.
NATURE.M
Messages
298
Reaction score
0

Homework Statement


The sum we are given is Σ(from x=0->∞) [(x^2)(2^x)]/x!. We are asked to find the exact value of this sum using concepts discussed in class which include poisson random variables, and their expected values.

The Attempt at a Solution


[/B]
So i know the solution to the infinite sum is divergent. I know this since:

e^2 * Σ(from x=0->∞) (x^2) * Σ(from x=0->∞) (2^x)(e^-2)/x! = e^-2 * Σ(from x=0->∞) (x^2) since Σ(from x=0->∞) (2^x)(e^-2)/x! = 1 from poisson distribution. And we know Σ(from x=0->∞) (x^2) is divergent from simple infinite series. So the sum itself is ∞/or diverges.

But I don't know if there's a better way to solve this using only properties of the poisson distributions and their expected values/variances instead of invoking results from infinite series.
 
Physics news on Phys.org
NATURE.M said:

Homework Statement


The sum we are given is Σ(from x=0->∞) [(x^2)(2^x)]/x!. We are asked to find the exact value of this sum using concepts discussed in class which include poisson random variables, and their expected values.

The Attempt at a Solution


[/B]
So i know the solution to the infinite sum is divergent. I know this since:

e^2 * Σ(from x=0->∞) (x^2) * Σ(from x=0->∞) (2^x)(e^-2)/x! = e^-2 * Σ(from x=0->∞) (x^2) since Σ(from x=0->∞) (2^x)(e^-2)/x! = 1 from poisson distribution. And we know Σ(from x=0->∞) (x^2) is divergent from simple infinite series. So the sum itself is ∞/or diverges.

But I don't know if there's a better way to solve this using only properties of the poisson distributions and their expected values/variances instead of invoking results from infinite series.

The sum is not divergent. A ratio test will tell you that. I don't know how to sum it exactly, but it is convergent.
 
Dick said:
The sum is not divergent. A ratio test will tell you that. I don't know how to sum it exactly, but it is convergent.
oh I think I noticed my error of breaking the sum up since its a property of finite sums only.
 
Hint: If that sum had an ##e^{-2}## factor, what expected value of what distribution would it be calculating?
 
LCKurtz said:
Hint: If that sum had an ##e^{-2}## factor, what expected value of what distribution would it be calculating?
Yeah I kinda understand that what I'm uncertain about is how does Σ(from x=0->∞) (x^2)(2^x)(e^-2)/x! = 6. The x^2 confuses me ?
 
LCKurtz said:
Hint: If that sum had an ##e^{-2}## factor, what expected value of what distribution would it be calculating?

NATURE.M said:
Yeah I kinda understand that what I'm uncertain about is how does Σ(from x=0->∞) (x^2)(2^x)(e^-2)/x! = 6. The x^2 confuses me ?

If you would answer my question it might help you.
 
use homogeneous differentiation for these types of exercises

$$\sum_{x=0}^\infty \dfrac{x^22^x}{x!}=\left. \left(r\dfrac{\mathrm{d}\phantom{r}}{\mathrm{d}r}\right)^2\sum_{x=0}^\infty \dfrac{r^x}{x!}\right|_{r=2}$$

or use
$$\sum_{x=0}^\infty \dfrac{r^x}{x!}
=\sum_{x=0}^\infty x\dfrac{r^{x-1}}{x!}
=\sum_{x=0}^\infty x(x-1)\dfrac{r^{x-2}}{x!}=e^x$$
 
Last edited:

Similar threads

Replies
6
Views
2K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 13 ·
Replies
13
Views
1K
Replies
8
Views
4K
  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 29 ·
Replies
29
Views
6K
  • · Replies 6 ·
Replies
6
Views
1K
Replies
6
Views
2K
  • · Replies 7 ·
Replies
7
Views
3K
  • · Replies 1 ·
Replies
1
Views
2K