PDF and CDF Integration Simplification

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Discussion Overview

The discussion revolves around the integration of probability density functions (PDFs) and cumulative distribution functions (CDFs) in the context of random variables X and Y. Participants explore the possibility of simplifying an integral expression involving these functions and seek to rewrite it in a specific form.

Discussion Character

  • Mathematical reasoning
  • Exploratory
  • Debate/contested

Main Points Raised

  • One participant presents an integral equation involving the PDF f_X(x) and CDF F_Y(y) and asks if it can be rewritten in a specific form.
  • Another participant suggests starting with a known identity related to the integral of f_X(x) over its entire range.
  • Several participants attempt to clarify and correct earlier posts, emphasizing the need to express the integral as a single minus integral.
  • One participant proposes a form involving the integrand f_X(x) and F_Y(x - γ) but expresses a desire to eliminate the first term entirely.
  • Multiple participants encourage further manipulation of the integrand to achieve the desired form, suggesting that a simpler factorization may be possible.
  • There are expressions of uncertainty and requests for hints, indicating that some participants are struggling with the mathematical concepts involved.

Areas of Agreement / Disagreement

Participants do not reach a consensus on the best way to simplify the integral or whether the desired form can be achieved. There are competing views on how to manipulate the integrand effectively.

Contextual Notes

Participants express uncertainty about the mathematical steps required to achieve the desired simplification, and there are unresolved questions regarding the manipulation of the integrand.

EngWiPy
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Hello,
I have this equation:

[tex]\int_{-\infty}^{\gamma}f_X(x)\,dx+\int_{\gamma}^{\infty}F_Y(x-\gamma)\,f_X(x)\,dx[/tex]

where [tex]f_X(x)[/tex] and [tex]F_Y(y)[/tex] are the PDF and CDF of the randome variables X and Y, respectively.

Now the question is: can I write the above equation in the form:

[tex]1-\int_{0}^{\infty}(...)[/tex]

Regards
 
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Try starting with

[tex] \int_{-\infty}^\gamma f_X(x) \, dx = \int_{-\infy}^\infty f_X (x) \, dx - \infty_\gamma^\infty f_X(x) \, dx = 1 - \infty_\gamma^\infty f_X(x) \, dx [/tex]
 
What statdad meant to say was: Try starting with

[tex]\int_{-\infty}^{\gamma} f_X(x)\,dx =<br /> \int_{-\infty}^{\infty} f_X(x)\,dx \;- \,\int_{\gamma}^{\infty}f_X(x\,)dx =<br /> 1 \,- \int_{\gamma}^{\infty}f_X(x)dx[/tex]
 
D H said:
What statdad meant to say was: Try starting with

[tex]\int_{-\infty}^{\gamma} f_X(x)\,dx =<br /> \int_{-\infty}^{\infty} f_X(x)\,dx \;- \,\int_{\gamma}^{\infty}f_X(x\,)dx =<br /> 1 \,- \int_{\gamma}^{\infty}f_X(x)dx[/tex]

Yes indeed, but statdad, in his advanced age, was interrupted by some annoying folks at the door and neglected to fix his post. Thanks.
 
D H said:
What statdad meant to say was: Try starting with

[tex]\int_{-\infty}^{\gamma} f_X(x)\,dx =<br /> \int_{-\infty}^{\infty} f_X(x)\,dx \;- \,\int_{\gamma}^{\infty}f_X(x\,)dx =<br /> 1 \,- \int_{\gamma}^{\infty}f_X(x)dx[/tex]

Yes, but I want the whole right side be one minus single integral. Is this still doable in some how?
 
Yes: you can write

[tex] 1 - \int_\gamma^\infty \left(f_X(x) - F_Y(x-\gamma)f_X(x)\right) \, dx[/tex]

You should be able to take this and write it as

[tex] 1 - \int_0^\infty ( \cdots ) \, dx[/tex]

just play around with the integrand.
 
statdad said:
Yes: you can write

[tex] 1 - \int_\gamma^\infty \left(f_X(x) - F_Y(x-\gamma)f_X(x)\right) \, dx[/tex]

You should be able to take this and write it as

[tex] 1 - \int_0^\infty ( \cdots ) \, dx[/tex]

just play around with the integrand.

Thank you, but this form is not the one in my mind. I need, if possible, in some how, to eliminate the first term, so that the equation looks like:

[tex]1-\int_0^{\infty}F_Y(a)\,f_X(a+\gamma)\,da[/tex]​

Regards
 
Look at the integrand in

[tex] \int_\gamma^\infty \left(f_X(x) - F_Y(x-\gamma)f_X(x)\right) \, dx[/tex]

You should see a very simple way to factor it and then rewrite it in a form more suitable to your desires for this problem.

Try it - do some work - then post again.
 
statdad said:
Look at the integrand in

[tex] \int_\gamma^\infty \left(f_X(x) - F_Y(x-\gamma)f_X(x)\right) \, dx[/tex]

You should see a very simple way to factor it and then rewrite it in a form more suitable to your desires for this problem.

Try it - do some work - then post again.

I can't see anything that I can do. :shy:
 
  • #10
Look a little harder. I won't give away the answer.
 
  • #11
statdad said:
Look a little harder. I won't give away the answer.

Just give me a hint, I am not strong in probability.
 
  • #12
saeddawoud said:
Just give me a hint, I am not strong in probability.

Work with the integrand.
 
  • #13
statdad said:
Work with the integrand.

Are you sure that, we can write [tex]\int_\gamma^\infty \left(f_X(x) - F_Y(x-\gamma)f_X(x)\right) \, dx[/tex] as [tex]\int_0^{\infty}F_Y(a)\,f_X(a+\gamma)\,da[/tex]?
 

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