Fermi
·
Concept Library
·
Courses
·
Books
·
Problems
·
Simulations
·
Math Wiki
·
High School
Fermi
›
Problems
Grinstead-Snell-Probability
· Problem 6.3.14
Sums of Random Variables
Mathematics · expected-value-variance-continuous
Problem
Let
X
X
X
be a continuous random variable with density function
f
X
(
x
)
f_X(x)
f
X
(
x
)
. Show that if
∫
−
∞
+
∞
x
2
f
X
(
x
)
d
x
<
∞
,
\int_{-\infty}^{+\infty} x^2 f_X(x)\,dx < \infty\,,
∫
−
∞
+
∞
x
2
f
X
(
x
)
d
x
<
∞
,
then
∫
−
∞
+
∞
∣
x
∣
f
X
(
x
)
d
x
<
∞
.
\int_{-\infty}^{+\infty} |x| f_X(x)\,dx < \infty\,.
∫
−
∞
+
∞
∣
x
∣
f
X
(
x
)
d
x
<
∞
.
Hint: Except on the interval
[
−
1
,
1
]
[-1, 1]
[
−
1
,
1
]
, the first integrand is greater than the second integrand.
Related theory
State Value And Action Value Functions
Browse the problem library