In the lecture on the
Expected value we
have discussed a rigorous definition of expected value that involves the
Riemann-Stieltjes integral. We present here some rules for computing the
Riemann-Stieltjes integral. Since we are interested in the computation of the
expected value, we focus here on rules that can be applied when the integrator
function is the distribution function of a random variable
,
that is, we limit our attention to integrals of the
kind
where
is the distribution
function of a random variable
and
.
Before stating the rules, note that the above integral does not necessarily
exist or is not necessarily well-defined. Roughly speaking, for the integral
to exist the integrand function
must be well-behaved. For example, if
is continuous on
,
then the integral exists and is well-defined.
That said, we are ready to present the calculation rules:
is
continuously differentiable on
.
If
is continuously differentiable on
and
is its first derivative,
then
is
continuously differentiable on
except
at a finite number of points. Suppose
is continuously differentiable on
except
at a finite number of points
,
...,
such
that
Denote
the derivative of
(where it exists) by
.
Then,
Table of contents
Let
be defined as
follows:
where
.
Compute the following
integral:
is continuously differentiable on the interval
.
Its derivative
is
As
a consequence, the integral
becomes
Please cite as:
Taboga, Marco (2021). "Computing the Riemann-Stieltjes integral: some rules", Lectures on probability theory and mathematical statistics. Kindle Direct Publishing. Online appendix. https://www.statlect.com/fundamentals-of-probability/Stieltjes-integral-rules.
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