Finding expectation of the function of a sum

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Discussion Overview

The discussion revolves around finding the expectation of a function of a sum, specifically focusing on the random variable ##S_n##, which is described as a random walk with symmetric steps. Participants explore the implications of conditional expectations and the correct notation to use in this context.

Discussion Character

  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • One participant initially presents an answer regarding the expectation of a function of ##S_n## but is questioned about the treatment of its distribution.
  • Another participant corrects the first by stating that ##S_n## has a discrete distribution, leading to a revised expectation calculation for ##E(S_n)## and ##E(S_n^2)##.
  • There is a challenge regarding the handling of conditional expectations, with one participant arguing that the final answer should be a function of ##S_n^2##.
  • Repeated concerns are raised about the clarity and correctness of notation, particularly regarding the expression ##E(\sin(S_n) | S_n)##.
  • A later reply clarifies the notation by introducing a specific outcome ##x## for ##S_n## and explains how to compute the expected value given this outcome.
  • Another participant emphasizes that knowing ##S_n^2## does not restrict ##S_n## to a single value, and questions the meaning of certain expressions used in earlier posts.

Areas of Agreement / Disagreement

Participants express disagreement on the handling of conditional expectations and the appropriate notation to use. There is no consensus on the correct approach to the problem, as multiple interpretations and corrections are presented throughout the discussion.

Contextual Notes

There are unresolved issues regarding the assumptions made about the distribution of ##S_n## and the implications of conditioning on ##S_n^2##. The notation used in the discussion has also been challenged, indicating potential misunderstandings or ambiguities in the mathematical expressions.

WMDhamnekar
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TL;DR
Finding expectation of the function of a sum of i.i.d. random variables given the 2nd moment of sum of i. i. d. random variables.
1678781098515.png

My answer:
1678781001557.png


Is the above answer correct?
 
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##S_n$$ has a discrete distribution. How did you get continuous?
 
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Oh, I am sorry. You are correct. So, if ## S_n## has a discrete distribution, my answer would be
* ##S_n## is a random walk with symmetric steps, so ##E(S_n) = 0##
* ##S_n^2## is the sum of n independent random variables taking values 1 and -1 with equal probability, so ##E(S_n^2) = n##
* By conditional expectation, ##E(\sin{S_n} | S_n^2) = E(\sin{S_n} | n) = \frac{E(\sin{S_n})}{E(n)} = \frac{0}{n} = 0##.
 
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I don't think you're handling the conditional part right. Your final answer is supposed to be a function of ##S_n^2## - given a specific value that it ends up being, what is the expected value of the sine?
 
Office_Shredder said:
I don't think you're handling the conditional part right. Your final answer is supposed to be a function of ##S_n^2## - given a specific value that it ends up being, what is the expected value of the sine?
I edited my answer to this question. Does it look now correct?
 
No, I still think you have written meaningless notation.

Try to compute ##E(\sin(S_n) | S_n)## what does this even mean?
 
Office_Shredder said:
No, I still think you have written meaningless notation.

Try to compute ##E(\sin(S_n) | S_n)## what does this even mean?
##S_n= \pm\sqrt{n}## with equal probability ##\frac12 \therefore E(\sin{(S_n)}|S^2_n)=\sin{(S_n=0)}\times \frac12 - \sin{(S_n=0)}\times \frac12 =0##
 
Here's what I think the solution is to my problem. I'm going to add two characters to make the notation more clear.

##E(\sin(S_n)|S_n=x)##. The expected value of the sine, given ##S_n## begs the question, given ##S_n## what? Given ##S_n## means given the realized outcome of ##S_n## from the random trial. I've decided to call that outcome ##x##.

So if someone tells you they sampled all the random variables and this time ##S_n=3## what is he expected value of ##\sin(S_n)##? Hopefully the answer is obvious, ##\sin(3)##. It's the only possible value of ##\sin(S_n)##. If we want to be very formal we could write this as ##E(\sin(S_n)|S_n=3)=\sum_y \sin(y) P(S_n=y | S_n=3)##. (In fact this is what I know as the definition of this notation) Obviously ##P(S_n=y|S_n=3)## is 0 except for ##y=3## where it's 1.

There's nothing special about 3, in general ##E(\sin(S_n) | S_n=x)=\sin(x)##.

Now in your original problem, being told ##S_n^2=16##, to pick a random possible number, doesn't restrict ##S_n## to only a single value. But there aren't that many choices for what it can be. If looks in your last post like you were hitting on this, but I don't know why you wrote ##\sin(S_n=0)## for example, or what that even means. Also, ##S_n^2## is very unlikely to actually equal ##n## exactly.
 
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