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An algorithm for computing the riemann zeta function based on an analysis of Backlund’s remainder estimate

The Riemann zeta function, Ϛ(s) with complex argument s, is a widely used special
function in mathematics. This thesis is motivated by the need of a cost reducing algorithm
for the computation of Ϛ (s) using its Euler-Maclaurin series. The difficulty lies in finding
small upper bounds, call them n and k, for the two sums in the Euler-Maclaurin series of
Ϛ (s) which will compute Ϛ (s) to within any given accuracy for any complex argument s,
and provide optimal computational cost in the use of the Euler-Maclaurin series.
This work is based on Backlund’s remainder estimate for the Euler-Maclaurin remain-
der, since it provides a close enough relationship between n, k, s, and е. We assumed that
the cost of computing the Bernoulli numbers, which appear in the series, is fixed, and
briefly discuss how this may influence high precision calculation. Based on our study
of the behavior of Backlund’s remainder estimate, we define the ‘best’ pair (n, k), and
present a reliable method of computing the best pair. Furthermore, based on a compu-
tational analysis, we conjecture that there is a relationship between n and k which does
not depend on s. We present two algorithms, one based on our method and the other
on the conjecture, and compare their costs of finding n and k as well as computing the
Euler-Maclaurin series with an algorithm presented by Cohen and Olivier. We conclude
that our algorithm reduces the cost of computing Ϛ(s) drastically, and that good numerical techniques need to be applied to our method and conjecture for finding n and k in
order to keep this computational cost low as well.

Identiferoai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/5448
Date11 1900
CreatorsMenz, Petra Margarete
Source SetsLibrary and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
RelationUBC Retrospective Theses Digitization Project [http://www.library.ubc.ca/archives/retro_theses/]

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