What is the Joint Density of C = min(A,B)?

  • Thread starter Thread starter spitz
  • Start date Start date
  • Tags Tags
    Density Joint
Click For Summary

Homework Help Overview

The discussion revolves around finding the joint density of the random variable C, defined as C = min(A, B), where A and B are independent random variables with given exponential distributions. Participants are exploring the correct formulation and derivation of the density function for C.

Discussion Character

  • Mathematical reasoning, Problem interpretation, Assumption checking

Approaches and Questions Raised

  • Participants present attempts to derive the density function using the properties of independent random variables and cumulative distribution functions. There are questions regarding the correctness of the initial formulations and the methods used to arrive at the density of C.

Discussion Status

Multiple approaches to the problem are being explored, with some participants suggesting alternative methods for deriving the density function. There is recognition of potential errors in the algebraic manipulations, and participants are encouraged to clarify their reasoning and check their assumptions.

Contextual Notes

Some participants note possible typographical errors in the initial attempts, and there is an emphasis on ensuring the correct application of probability properties related to independent random variables.

spitz
Messages
57
Reaction score
0

Homework Statement



I have:

f_A=\lambda e^{-\lambda a}
f_B=\mu e^{-\mu b}

(A and B are independent)

I need to find the density of C=\min(A,B)

2. The attempt at a solution
f_C(c)=f_A(c)+f_B(c)-f_A(c)F_B(c)-F_B(c)f_A(c)
=\lambda e^{-\lambda c}+\mu e^{-\mu c}-\lambda e^{-\lambda c}(1-e^{-\mu c})-(1-e^{-\lambda c})\mu e^{-\mu c}
=\lambda e^{-\lambda c}e^{-\mu c}+\mu e^{-\lambda c}e^{-\mu c}
=2(\lambda+\mu)e^{-c(\lambda+\mu)}

Correct or utterly wrong?
 
Physics news on Phys.org
spitz said:

Homework Statement



I have:

f_A=\lambda e^{-\lambda a}
f_B=\mu e^{-\mu b}

(A and B are independent)

I need to find the density of C=\min(A,B)

2. The attempt at a solution
f_C(c)=f_A(c)+f_B(c)-f_A(c)F_B(c)-F_B(c)f_A(c)
=\lambda e^{-\lambda c}+\mu e^{-\mu c}-\lambda e^{-\lambda c}(1-e^{-\mu c})-(1-e^{-\lambda c})\mu e^{-\mu c}
=\lambda e^{-\lambda c}e^{-\mu c}+\mu e^{-\lambda c}e^{-\mu c}
=2(\lambda+\mu)e^{-c(\lambda+\mu)}

Correct or utterly wrong?

Some blunders (probably just typos), but answer is right: your first line should have been
f_C(c)=f_A(c)+f_B(c)-f_A(c)F_B(c)-F_A(c)f_B(c),
which is what your later lines computed. However, you are doing it the hard way: much easier is to say \Pr \{\min(A,B) &gt; c \} = \Pr \{ A &gt; c \mbox{ and } B &gt; c \}<br /> = \Pr \{A &gt; c \} \cdot \Pr \{ B &gt; c \}.

RGV
 
Ray Vickson said:
...much easier is to say \Pr \{\min(A,B) &gt; c \} = \Pr \{ A &gt; c \mbox{ and } B &gt; c \}<br /> = \Pr \{A &gt; c \} \cdot \Pr \{ B &gt; c \}.

RGV

=(1-F_A(c)) \cdot (1-F_B(c))=(1-(1-e^{-\lambda c})) \cdot (1-(1-e^{-\mu c}))=e^{-c(\lambda+\mu)}
\Rightarrow\frac{d}{dc}e^{-c(\lambda+\mu)}=-(\lambda+\mu)e^{-c(\lambda+\mu)}

Although my first answer should have been: (\lambda+\mu)e^{-c(\lambda+\mu)}

Which is correct?
 
Last edited:
spitz said:
=(1-F_A(c)) \cdot (1-F_B(c))=(1-(1-e^{-\lambda c})) \cdot (1-(1-e^{-\mu c}))=e^{-c(\lambda+\mu)}
\Rightarrow\frac{d}{dc}e^{-c(\lambda+\mu)}=-(\lambda+\mu)e^{-c(\lambda+\mu)}

Although my first answer should have been: (\lambda+\mu)e^{-c(\lambda+\mu)}

Which is correct?

Your first *answer* was incorrect, but your method was correct up to the second-last line; in my original response, I messed the factor of 2, so should not have said it was correct. Basically, to get your last line you said a+b = 2(a+b), so you made a blunder.

The result \min(A,B) \leftrightarrow (\lambda+\mu) e^{-(\lambda + \mu)t} is correct. It is one of the absolutely standard properties of the exponential. Since the second way of getting it is correct, step-by-step, it cannot fail to be correct; you just need more confidence when making true statements, but you also need to be careful when doing algebraic manipulations.

RGV
 

Similar threads

  • · Replies 6 ·
Replies
6
Views
1K
Replies
6
Views
3K
Replies
7
Views
2K
Replies
11
Views
2K
  • · Replies 7 ·
Replies
7
Views
2K
Replies
2
Views
2K
Replies
6
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 8 ·
Replies
8
Views
2K
Replies
17
Views
2K