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414 Chapter 8 THE UBIQUITY OF PRIME NUMBERS<br />

integrals that present the more difficult challenge for the qMC methods. That<br />

is, financial integrands are often “smoother” in practice.<br />

Just as interesting as the qMC technique itself is the controversy that<br />

has simmered in the qMC literature. Some authors believe that the Halton<br />

sequence—the one on which we have focused as an example of primebased<br />

qMC—is inferior to, say, the Sobol [Bratley and Fox 1988] or Faure<br />

[Niederreiter 1992] sequences. And as we have indicated above, this assessment<br />

tends to depend strongly on the domain of application. Yet there is some<br />

theoretical motivation for the inferiority claims; namely, it is a theorem [Faure<br />

1982] that the star discrepancy of a Faure sequence satisfies<br />

D ∗ N ≤ 1<br />

D!<br />

p − 1<br />

2lnp<br />

D ln D N<br />

N ,<br />

where p is the least prime greater than or equal to D. Whereas a Ddimensional<br />

Halton sequence can be built from the first D primes, and this<br />

Faure bound involves the next prime, still the bound of Theorem 8.3.5 is<br />

considerably worse. What is likely is that both bounding theorems are not<br />

best-possible results. In any case, the prime numbers once again enter into<br />

discrepancy theory and its qMC applications.<br />

As has been pointed out in the literature, there is the fact that qMC’s<br />

error growth of O (ln D <br />

N)/N is, for sufficiently large D, and sufficiently<br />

small N, or practical combinations of D, N magnitudes, worse than direct<br />

Monte Carlo’s O 1/ √ <br />

N . Thus, some researchers do not recommend qMC<br />

methods unconditionally. One controversial problem is that in spite of various<br />

theorems such as Theorem 8.3.5 and the Faure bound above, we still do not<br />

know how the “real-world” constants in front of the big-O terms really behave.<br />

Some recent developments address this controversy. One such development is<br />

the discovery of “leaped” Halton sequences. In this technique, one can “break”<br />

the unfortunate correlation between coordinates for the D-dimensional Halton<br />

sequence. This is done in two possible ways. First, one adopts a permutation on<br />

the inverse-radix digits of integers, and second, if the base primes are denoted<br />

by p0,...,pD−1, then one chooses yet another distinct prime pD and uses only<br />

every pD-th vector of the usual Halton sequence. This is claimed to improve<br />

the Halton sequence dramatically for high dimension, say D =40to400<br />

[Kocis and Whiten 1997]. It is of interest that these authors found a markedly<br />

good distinct prime pD to be 409, a phenomenon having no explanation.<br />

Another development, from [Crandall 1999a], involves the use of a reduced set<br />

of primes—even when D is large—and using the resulting lower-dimensional<br />

Halton sequence as a vector parameter for a D-dimensional space-filling curve.<br />

In view of the sharply base-dependent bound of Theorem 8.3.5, there is reason<br />

to believe that this technique of involving only small primes carries a distinct<br />

statistical advantage in higher dimensions.<br />

While the notion of discrepancy is fairly old, there always seem to appear<br />

new ideas pertaining to the generation of qMC sets. One promising new<br />

approach involves the so-called (t, m, s)-nets [Owen 1995, 1997a, 1997b],

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