Minimum of two random variable

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The discussion focuses on finding the density of the minimum of two independent identically distributed random variables, X and Y, with a specified density function. The derived cumulative distribution function for Z, the minimum of X and Y, is correctly identified as FZ(u) = 1 - exp(-u²/2) for u > 0. However, there is confusion regarding the density of Z² and whether it shares the same density as Z. Clarifications emphasize that the probability distribution for Z² must be derived from the cumulative distribution function of Z, leading to the conclusion that Z² does not have the same density as Z. The final takeaway is the need for proper differentiation to find the density of the squared variable.
Dassinia
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Hello, want to know if it's correct
1. Homework Statement

X and Y two random variables iid of common density f and f(x)=x*exp(-x²/2) if x≥0 and f(x)=0 if x≤0
and Z=min(X,Y)
Find
-The density of Z
-The density of Z²
- E[Z²]

Homework Equations

The Attempt at a Solution


1.[/B]
FZ(u) = P(min(X,Y )≤u)
= 1 − P(min(X,Y )>u)
= 1 − P(X>u)*P(Y>u)
= 1 − (1 − F(u))²

And F(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
So FZ(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
The density is then
fZ(u) = u*exp(-u²/2) 0 if u>0 , 0 if u≤0

2. I'm not sure here
u≤0
FZ²(u)=P(Z²≤u)=0
u≥0
Z²≤u , -√u≤Z≤√u
From -√u to 0 , FZ²(u)=0
From 0 to √u , FZ²(u)=FZ(u)=1-exp(-u²/2)

So Z² has the same density as Z ?

Thanks
 
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Dassinia said:

The Attempt at a Solution


1.[/B]
FZ(u) = P(min(X,Y )≤u)
= 1 − P(min(X,Y )>u)
= 1 − P(X>u)*P(Y>u)
= 1 − (1 − F(u))²

And F(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
So FZ(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
The density is then
fZ(u) = u*exp(-u²/2) 0 if u>0 , 0 if u≤0
I am not following how you went from F(u) to FZ(u) since FZ(u) = 1-(1-F(u))^2. This would give you 1-exp(-u²).
Then fZ(u) = d/du (FZ(u)) = 2u exp(-u^2).
Dassinia said:
From 0 to √u , FZ²(u)=FZ(u)=1-exp(-u²/2)
You are looking for the probability that Z < sqrt(u), so FZ^2*=(u) = FZ(sqrt(u)) .
 
Dassinia said:
Hello, want to know if it's correct

FZ(u) = P(min(X,Y )≤u)
= 1 − P(min(X,Y )>u)
= 1 − P(X>u)*P(Y>u)
= 1 − (1 − F(u))²

And F(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
So FZ(u)=1-exp(-u²/2) if u>0 , 0 if u≤0
The density is then
fZ(u) = u*exp(-u²/2) 0 if u>0 , 0 if u≤0

2. I'm not sure here
u≤0
FZ²(u)=P(Z²≤u)=0
u≥0
Z²≤u , -√u≤Z≤√u
From -√u to 0 , FZ²(u)=0
From 0 to √u , FZ²(u)=FZ(u)=1-exp(-u²/2)

So Z² has the same density as Z ?

Thanks

(i) Standard textbook expression: ##f_Z(z) = 2 f(z) P(X>z)##, and in your case, ##P(X > z) = e^{-z^2/2}##. Your final expression is incorrect.
(ii) Since ##Z \geq 0##, ##P(Z^2 \leq w) = P(Z \leq \sqrt{w})## for all ##w \geq 0##. Get the density of ##W = Z^2## by differentiation of ##P(W \leq w)##.
 
Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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