| Introduction | Uniform Distribution | Classical Examples | Construction | Irreducible Polynomials | Numerical Integraion | Pricing Theory | References |
A sequence of points
is uniformly distributed in the
-dimensional unit cube
, if in the limit the fraction of points lying in any measurable set of
is equal to the area of that set. The star-discrepancy of the
first
points of a sequence
measures its deviation from the uniform distribution in the way that
,
where
denotes the set of all rectangles in
with one corner at the origin.,
the
-dimensional Lebesgue measure and
the characteristic function of
.
The Law of Iterated Logarithm for the discrepancy shows that the discrepancy of
pseudo-random numbers is of the order
. A lower bound for the discrepancy of any sequence in the s-dimensional
unit cube is
, where
is a constant depending on the dimension. Low-discrepancy sequences
are sequences whose discrepancy is less than
.
Converted by Mathematica November 18, 1998