What is the PDF of a Sine Wave Cycle?

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Discussion Overview

The discussion revolves around the probability density function (PDF) of a sine wave cycle, exploring both its analytic expression and potential derivation methods. Participants consider numerical solutions and the implications of the sine function's properties on its PDF.

Discussion Character

  • Exploratory
  • Technical explanation
  • Mathematical reasoning

Main Points Raised

  • One participant, Natski, inquires about the PDF of a sine wave cycle and suggests that there may be an analytic expression available.
  • Natski later claims to have solved the problem, proposing the PDF as P(x) d x= \frac{1}{\pi \sqrt{1-x^2}} d x.
  • Another participant asks for clarification on what is meant by "rv," which is identified as "random variable."
  • Natski expresses a desire for the derivation of the proposed PDF and references the derivative of the arcsine function as a basis for understanding the PDF's formulation.
  • Participants discuss the relationship between the slope of the sine function and the likelihood of obtaining a point at a given value, suggesting that the PDF reflects this relationship.
  • There is a question raised about how to handle functions that do not have inverses or are not symmetrical, with a suggestion that such functions might be treated as piecewise functions at stationary points.

Areas of Agreement / Disagreement

The discussion contains multiple viewpoints regarding the derivation and properties of the PDF of a sine wave. While Natski proposes a specific PDF, there is no consensus on the derivation process or how to handle non-invertible functions.

Contextual Notes

Participants express uncertainty about the derivation of the PDF and the treatment of functions without inverses. The discussion does not resolve these uncertainties.

natski
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Does anybody know what the pdf of a sine wave cycle is? Or perhaps how to derive it? The problem can be done numerically, but surely there is an analytic expression for this function? There is a numerical solution available at http://www.forexmt4.com/_MT4_Systems/Fisher%20-%20The%20Collection/2775-fisher-130fish.pdf, figure 2.

Thanks,

Natski
 
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Pls clarify which is the rv.
 
Hi ssd. Note sure what you mean by the rv.

Actually I have now solved this problem. The pdf of a sine wave is given by:

\begin{equation}
\textrm{P}(x) \textrm{ d}x= \frac{1}{\pi \sqrt{1-x^2}} \textrm{ d}x
\end{equation}

Cheers,
Natski
 
natski said:
Hi ssd. Note sure what you mean by the rv.

Actually I have now solved this problem. The pdf of a sine wave is given by:

\begin{equation}
\textrm{P}(x) \textrm{ d}x= \frac{1}{\pi \sqrt{1-x^2}} \textrm{ d}x
\end{equation}

Cheers,
Natski
R.V. is "random variable".
 
Last edited by a moderator:
Omegatron said:
Hmmm... From http://en.wikipedia.org/wiki/Differ...ns#Differentiating_the_inverse_sine_function":

[tex]\frac{d}{dx} \arcsin x & {}= \frac{1}{\sqrt{1-x^2}}\\[/tex]

Actually that makes sense. As the slope of the function increases, the likelihood of getting a point at that value increases, so it would seem that the PDF of a function is the derivative of the http://en.wikipedia.org/wiki/Inverse_function" to figure it out, like using only a single cycle of the sine wave, which is what arcsin does.

So for [tex]y = x^2[/tex], for instance, the inverse function is [tex]x = \pm\sqrt{y}[/tex], and the derivative of one side of this (since both positive and negative are identical) is [tex]1 \over {2 \sqrt{x}}[/tex]. Weight it so that the total area under the curve is 1, and it's the PDF.

But what about functions that don't have inverses, and also aren't symmetrical or repetitious? They still have PDFs. Do you just break them up into piecewise functions at each http://en.wikipedia.org/wiki/Stationary_point" , and then sum them)
 
Last edited by a moderator:
Omegatron said:
But what about functions that don't have inverses, and also aren't symmetrical or repetitious? They still have PDFs. Do you just break them up into piecewise functions at each http://en.wikipedia.org/wiki/Stationary_point" , and then sum them)
Yes, I think you would have to do it that way.
 
Last edited by a moderator:

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