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

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Homework Statement



I have:

[tex]f_A=\lambda e^{-\lambda a}[/tex]
[tex]f_B=\mu e^{-\mu b}[/tex]

([itex]A[/itex] and [itex]B[/itex] are independent)

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

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

Correct or utterly wrong?
 
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spitz said:

Homework Statement



I have:

[tex]f_A=\lambda e^{-\lambda a}[/tex]
[tex]f_B=\mu e^{-\mu b}[/tex]

([itex]A[/itex] and [itex]B[/itex] are independent)

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

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

Correct or utterly wrong?

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

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

RGV

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

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

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

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

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 [itex]\min(A,B) \leftrightarrow (\lambda+\mu) e^{-(\lambda + \mu)t}[/itex] 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