I Derive Convolution Expression for Z_PDF(z)

Click For Summary
The discussion centers on deriving the expression for the probability density function (PDF) of the sum of two independent random variables, Z = X + Y. Initial attempts to express Z_PDF(z) using the joint PDFs of X and Y are critiqued for lacking proper justification, particularly regarding the independence of X and Y and the need to account for all combinations of values that sum to z. The conversation emphasizes that the correct approach involves integrating over all possible pairs (x, y) such that x + y = z, leading to the convolution formula. Participants suggest that a rigorous derivation should start from the cumulative distribution function and differentiate it, rather than relying on informal algebraic manipulations. The importance of defining integration limits and relationships between variables is highlighted as crucial for accurate derivation.
  • #61
As far as I can tell, you aren't presenting any logical arguments. You are conjecturing various formulas and asking for criticism of them. That's a permissible approach in the early stages of an investigation, but you should follow-up a conjecture by testing it with some simple examples instead of relying on my comments. it's ok to make conjectures by resorting to "magic" - such as writing down symbols like "dx/dx" without asking what they symbolize. But you should proceed to working specific examples that force you to make specific interpretations. (I'm about to get busy for a few days with the jobs of being executor of an estate, so I'm not going to have time to criticize a hundred different conjectures.) - In fact I just got a phone call and I must leave right now.
 
Physics news on Phys.org
  • #62
I think the essence here is that for multiple variables/dimensions we need to use line/surface integrals
and that it starts to make more sense to use the joint PDF of the source RV's.
XY_PDF(x,y)*sqrt(dx^2 + dy^2) = X_PDF(x)*|dx| * Y_PDF(y)*sqrt(1 + (dy/dx)^2)

Hm, maybe regular multidimensional integration comes in when considering inequalities, like Z < X+Y.

I'll keep exploring. Thanks for all help!
 

Similar threads

  • · Replies 9 ·
Replies
9
Views
2K
  • · Replies 10 ·
Replies
10
Views
763
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 33 ·
2
Replies
33
Views
4K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
860
  • · Replies 5 ·
Replies
5
Views
2K
  • · Replies 2 ·
Replies
2
Views
811