**Definition:**The Riemann-Stieltjes integral is generalization of regular Riemann integration.

Let | denote the integral sign. Quoting from Priestly:

"...when we have two deterministic functions g(t),F(t), the Riemann-Stieltjes integral

R = |_{a}^{b} g(t)dF(t)

is defined as the limiting value of the discrete summation"

(sum from i=1 to i=n of) g(t_{i})[F(t_{i})-F(t_{i-1})]

for t_{1}=a and t_{n}=b as n goes to infinity and "as
max(t_{i}-t_{i-1})->0."

If F(t) is differentiable, then the above integral is the same as the regular
integral R=|_{a}^{b} g(t)F'(t) dt, but the Reimann-Stieltjes
integral can be defined in many cases even when F() is not
differentiable.

One of the most common uses is when F() is a cdf.

Examples: The expectation of a random variable can be written:

mu=| xf(x) dx

if f(x) is the pdf. It can also be written:

mu=| x dF(x)

where F(x) is the cdf. The two are equivalent for a continuous distribution, but notice that for a discrete one (e.g. a coin flip, with X=0 for heads and X=1 for tails) the second, Riemann-Stieltjes, formulation is well defined but no pdf exists to calculate the first one.

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