Digital Signal Processing Reference
In-Depth Information
Solution
Let us observe all values of
x
keeping in mind the following intervals:
(a) 1
< x <1:
(b)
x ¼
1.
(c) 0
< x <
1
:
(d)
x ¼
0.
(e)
1< x <
:
0
(a) For the values of
X
in the interval:
1
< x <1;
(2.12)
the event
f
X x
g
(2.13)
is a certain event because the values of the random variable are 0 and 1, and
thus always less than
x-
defined in (
2.12
)-yielding:
PfX xg¼
1
for
1
< x <1:
(2.14)
(b) For
x ¼
1 (from (
2.11
)),
PðX ¼
1
Þ¼p ¼
3
=
4
:
(2.15)
(c) For the values of
x
in the interval
0
< x <
1
;
(2.16)
the probability of event
X x
f
g
corresponds to the probability that the r.v.
takes the value 0,
PfX xg¼PfX ¼
0
g¼
1
=
4
for
0
< x <
1
:
(2.17)
(d) For
x ¼
0 (from (
2.11
)),
PðX ¼
0
Þ¼
1
=
4
:
(2.18)
(e) For the interval
1< x <
0
;
(2.19)
the event
X x
f
g
is impossible because the r.v.
X
is never negative.
Therefore,
PfX xg¼
0
for
1 x <
0
:
(2.20)
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