Asked by Anonymous
                 Let k be a positive integer and let X be a continuous random variable that is uniformly distributed on [0,k]. For any number x, denote by ⌊x⌋ the largest integer not exceeding x. Similarly, denote frac(x)=x−⌊x⌋ to be the fractional part of x. The following are two properties of ⌊x⌋ and frac(x):
x = ⌊x⌋+frac(x)
⌊x⌋ ≤ x<⌊x⌋+1,
frac(x) ∈ [0,1).
For example, if x=2.91, then ⌊x⌋=2 and frac(x)=0.91.
Let Y=⌊x⌋ and let pY(y) be its PMF. There exists some nonnegative integer l such that pY(y)>0 for every y∈{0,1,…,ℓ}, and pY(y)=0 for y≥ℓ+1. Find ℓ and pY(y) for y∈{0,1,…,ℓ}. Your answer should be a function of k.
ℓ=
unanswered
pY(y)=
unanswered
Let Z=frac(x) and let fZ(z) be its PDF. There exists a real number c such that fZ(z)>0 for every z∈(0,c), and fZ(z)=0 for every z>c. Find c, and fZ(z) for z∈(0,c).
c=
unanswered
fZ(z)=
unanswered
            
            
        x = ⌊x⌋+frac(x)
⌊x⌋ ≤ x<⌊x⌋+1,
frac(x) ∈ [0,1).
For example, if x=2.91, then ⌊x⌋=2 and frac(x)=0.91.
Let Y=⌊x⌋ and let pY(y) be its PMF. There exists some nonnegative integer l such that pY(y)>0 for every y∈{0,1,…,ℓ}, and pY(y)=0 for y≥ℓ+1. Find ℓ and pY(y) for y∈{0,1,…,ℓ}. Your answer should be a function of k.
ℓ=
unanswered
pY(y)=
unanswered
Let Z=frac(x) and let fZ(z) be its PDF. There exists a real number c such that fZ(z)>0 for every z∈(0,c), and fZ(z)=0 for every z>c. Find c, and fZ(z) for z∈(0,c).
c=
unanswered
fZ(z)=
unanswered
Answers
                    Answered by
            Anonymous
            
    l=k-1
p(y) =1/k
    
p(y) =1/k
                    Answered by
            Anonymous
            
    c=1
fz(z)=1
    
fz(z)=1
                    Answered by
            Anon
            
    l=k-1?
How?
Suppose we have k=2 so that y can now be 0,1, and 2. So l should be 2 in this case.
P(y)=0 for l+1. So if we have l=k-1, we would have l=1 when k=2. This would violate the condition we have set i.e P(y)=0 for l+1 since y can clearly be 2 if k=2.
    
How?
Suppose we have k=2 so that y can now be 0,1, and 2. So l should be 2 in this case.
P(y)=0 for l+1. So if we have l=k-1, we would have l=1 when k=2. This would violate the condition we have set i.e P(y)=0 for l+1 since y can clearly be 2 if k=2.
                    Answered by
            Guarantã
            
    l = k-1 Violates the condition py(y) > 0 for y = l +1
    
                    Answered by
            Guarantã
            
    l = [k]
    
                    Answer
            
    l = k
py(y) = 1/(k+1)
    
py(y) = 1/(k+1)
                    Answered by
            Morrisey
            
    1. k
2. 1/k (remember it's a uniform distribution and it has to be a valid PMF)
3. c
4. 1
It seems quite easy to be true, so I'm not sure about this
    
2. 1/k (remember it's a uniform distribution and it has to be a valid PMF)
3. c
4. 1
It seems quite easy to be true, so I'm not sure about this
                    Answered by
            Morrisey
            
    Actually, forget it, 2. is 1/(k+1) as it includes 0 
    
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