MHB Why is my solution for part b) of the geometric series question incorrect?

AI Thread Summary
The discussion revolves around the misunderstanding of the geometric series and the correct computation of the constant \( c \) in the context of a probability distribution function. The user initially attempts to solve part b) using incorrect assumptions about the series starting point, leading to confusion about why the summation begins at \( n=1 \) instead of \( n=0 \). It is clarified that the probability distribution \( p_X(n) \) is defined such that \( p_X(0) = 0 \), which justifies starting the summation at \( n=1 \). The correct value of \( c \) is derived from the relation that the total probability must equal 1, confirming that the series is valid only for \( n \geq 1 \). The discussion concludes with an acknowledgment of the mistake and a better understanding of the series' limits.
nacho-man
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Please refer to the attached sheet.
I need help with part b)

for part
a)
I did:
$\sum\limits_{n=0}^{\infty} a^n = \frac{1}{1-a}$
So for

$\sum\limits_{x=0}^{\infty} a^{2x}$
$a^{2x} = (a^2)^x$
and

$\sum\limits_{x=0}^{\infty} (a^2)^x = \frac{1}{1-a^2}$
for part b)
the solutions say i am wrong.

I did this:

$c$ $\sum\limits_{n=0}^{\infty} a^n = \frac{c}{1-a} = 1$
therefore
$c = 1-a^2$ (from part a)

The answer is not this. Solutions are:$\sum\limits_{x=1}^{\infty} c(a^2)^x = 1$
$ ...$
$c = \frac{a^{2x}(1-a^2)}{a^2}$

Why do we begin from $x=1$ and not $x=0$ when summing this series? Is this always the case for these questions? How do I solve part b?
 

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nacho said:
Please refer to the attached sheet.
I need help with part b)

for part
a)
I did:
$\sum\limits_{n=0}^{\infty} a^n = \frac{1}{1-a}$
So for

$\sum\limits_{x=0}^{\infty} a^{2x}$
$a^{2x} = (a^2)^x$
and

$\sum\limits_{x=0}^{\infty} (a^2)^x = \frac{1}{1-a^2}$
for part b)
the solutions say i am wrong.

I did this:

$c$ $\sum\limits_{n=0}^{\infty} a^n = \frac{c}{1-a} = 1$
therefore
$c = 1-a^2$ (from part a)

The answer is not this. Solutions are:$\sum\limits_{x=1}^{\infty} c(a^2)^x = 1$
$ ...$
$c = \frac{a^{2x}(1-a^2)}{a^2}$

Why do we begin from $x=1$ and not $x=0$ when summing this series? Is this always the case for these questions? How do I solve part b?

Using the n instead of the x we have...

$\displaystyle p_{X}(n) = c\ a^{2\ n},\ 0 < a < 1,\ n = 1,2,...\ (1)$

The value of c is computed from the basic relation...

$\displaystyle \sum_{n=1}^{\infty} p_{X} (n) = 1 \implies c = \frac{1 - a^{2}}{a^{2}}\ (2)$

The mean value is...

$\displaystyle \mu_{X} = c\ \sum_{n=1}^{\infty} n\ a^{2 n} = \frac{1}{1-a^{2}}\ (3)$

Are You able to proceed computing variance?...

Kind regards

$\chi$ $\sigma$
 
Last edited:
I can find variance.

This is what I don't understand though.

The value of c is computed from the basic relation...

$\displaystyle \sum_{n=1}^{\infty} p_{X} (n) = 1 \implies c = \frac{1 - a^{2}}{a^{2}}\ $

Why do we some from $n=1$ and not $n=0$ ? If I had a different series, would I take the same approach?
 
nacho said:
I can find variance.

This is what I don't understand though.

The value of c is computed from the basic relation...

$\displaystyle \sum_{n=1}^{\infty} p_{X} (n) = 1 \implies c = \frac{1 - a^{2}}{a^{2}}\ $

Why do we some from $n=1$ and not $n=0$ ? If I had a different series, would I take the same approach?

The definition seems to indicate that $p_{X} (0) = 0$ so that the series starts from n=1. The variance can be found first computing... $\displaystyle E \{ X^{2}\} = \sum_{n=1}^{\infty} n^{2}\ p_{X} (n) = c \sum_{n=1}^{\infty} n^{2} a^{2 n} = \frac{1 + a^{2}}{(1 - a^{2})^{2}}\ (1)$

... so that is...

$\displaystyle \sigma_{X}^{2} = E \{ X^{2}\} - E^{2} \{ X \} = \frac{a^{2}}{(1 - a^{2})^{2}}\ (2)$ Kind regards $\chi$ $\sigma$
 
chisigma said:
The definition seems to indicate that $p_{X} (0) = 0$ so that the series starts from n=1.

Although,
if $p_X(x)$ = $c a^{2x}$
Doesn't $p_X(0) = c$ ?
and $ c \neq 0$
I still don't understand.
 
nacho said:
Although,
if $p_X(x)$ = $c a^{2x}$
Doesn't $p_X(0) = c$ ?
and $ c \neq 0$
I still don't understand.

The PDF of the discrete variable X is defined as...

$\displaystyle p_{X} (n) = c\ a^{2 n},\ 0 < a < 1,\ n=1,2,... \ (1)$

... and that means that X may be equal to 1,2,... but not equal to 0...

Kind regards

$\chi$ $\sigma$
 
chisigma said:
The PDF of the discrete variable X is defined as...

$\displaystyle p_{X} (n) = c\ a^{2 n},\ 0 < a < 1,\ n=1,2,... \ (1)$

... and that means that X may be equal to 1,2,... but not equal to 0...

Kind regards

$\chi$ $\sigma$

wow thank you, i can't believe i missed that...

(Doh)
 
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