Find Help w/ Taylor Series: (y+dy)^0.5

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The discussion focuses on expanding the expression (y+dy)^0.5 using Taylor series, with y as a constant and dy as a variable. Participants clarify that the goal is to relate the probability density function (PDF) of a random variable X, defined as Y=X^2, to the PDF of Y. The conversation emphasizes the importance of considering both positive and negative values of X when deriving the PDFs. A specific step in the derivation process is highlighted as confusing, particularly the transition between two lines in the mathematical argument. Overall, the thread aims to clarify the relationship between the random variables and the use of Taylor series in this context.
chenrim
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help with the following taylor series:

(y+dy)^0.5

Thanks
 
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I'm guessing that y is a constant and dy is your variable? and you are trying to expand around dy=0 ? well, you should try to use the definition of the Taylor series, and see what you get :)
 
The thing is that i have an r.v (random variable) of the form Y=X^2

and by definition : fy(y)dy= P{y<Y<=y+dy}
i can substitute Y with (X)^2 and then i take the square root from both sides and get :
P{ sqrt(y)<X<= sqrt(y+dy) }}

now i want to show the PDF of X by the definition so i want to develop the right side of the inquality into a taylor series.
sqrt(y+dy) This is the term i want to develop into a taylor series . y and dy both are numbers. i tried to use Taylor's formula but couldn't get it right,

Hope you understand my question

thanks
 
yes, I think I understand. you want to show how the pdf of X (from first principles) is related to the pdf of Y. Generally, you also need to take into account that X can be negative. (unless you want to specifically say that the random variable X cannot be negative). After this, I think it is easiest to use the cumulative distribution, and differentiate to get the probability density functions.
 
Yes you right X also should be taken negative.
i didnt understand the step between line 2 and 3
https://drive.google.com/file/d/0B4wgc0vIE7CCUmpXLXJ0TEtIeUU/view?usp=sharing
 
Last edited by a moderator:
chenrim said:
i didnt understand the step between line 2 and 3
https://drive.google.com/file/d/0B4wgc0vIE7CCUmpXLXJ0TEtIeUU/view?usp=sharing

It looks like an argument using differentials. If f_X is the pdf of the random variable X then the probability of the event \{x: a &lt; x \le a + h\} \approx f_X(a) h. This is applied when a = \sqrt{y} and h = \frac{\triangle y} {2 \sqrt{y} } and again when a = -\sqrt{y}.
 
Last edited by a moderator:

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