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Material Type: Assignment; Class: Probability; Subject: Statistics and Probability; University: Arizona State University - Tempe; Term: Fall 1996;
Typology: Assignments
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We are assuming that X and Y are independent random variables both having a discrete uniform density on the first N positive integers. So, in particular,
fX (x) =
1 N ,^ x^ = 1,^2 ,... , N^ ;
0 , otherwise.
and similarly for fY.
We want to determine the density of X + Y. For convenience, set Z = X + Y. By (25) on page 72,
fZ (z) =
∑^ z
x=
fX (x)fY (z − x). (∗)
Note that the range of Z is { 2 , 3 ,... , 2 N }.
Now, a summand in (∗) is nonzero if and only if
1 ≤ x ≤ N 1 ≤ z − x ≤ N
or
1 ≤ x ≤ N z − N ≤ x ≤ z − 1
or max{ 1 , z − N } ≤ x ≤ min{N, z − 1 }.
But,
max{ 1 , z − N } =
{ (^1) , z ≤ N ;
z − N, z ≥ N + 1
and
min{N, z − 1 } =
{ (^) z − 1 , z ≤ N ;
N, z ≥ N + 1
Thus, if z = 2, 3,... , N ,
fZ (z) =
z∑− 1
x=
z − 1 N 2
if z = N + 1, N + 2,... , 2N ,
fZ (z) =
x=z−N
2 N + 1 − z N 2
and fZ (z) = 0 otherwise.