Sieves and iteration rules

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Abstract/Contents

Abstract
A sieve is a type of inclusion-exclusion inequality that comes up when bounding the size of number theoretic sets of interest. We explore iterative rules for improving sieve-theoretic bounds when the sifting dimension is slightly greater than one. We also prove some asymptotic results for a model problem introduced by Selberg, in which we pretend that all primes have the same size, and prove the NP-completeness of a decision variant of standard sieve-theoretic questions.

Description

Type of resource text
Form electronic; electronic resource; remote
Extent 1 online resource.
Publication date 2017
Issuance monographic
Language English

Creators/Contributors

Associated with Brady, Zarathustra Elessar
Associated with Stanford University, Department of Mathematics.
Primary advisor Soundararajan, Kannan, 1973-
Thesis advisor Soundararajan, Kannan, 1973-
Thesis advisor Fox, Jacob, 1984-
Thesis advisor Venkatesh, Akshay, 1981-
Thesis advisor Vondrak, Ján, (Mathematician)
Advisor Fox, Jacob, 1984-
Advisor Venkatesh, Akshay, 1981-
Advisor Vondrak, Ján, (Mathematician)

Subjects

Genre Theses

Bibliographic information

Statement of responsibility Zarathustra Elessar Brady.
Note Submitted to the Department of Mathematics.
Thesis Thesis (Ph.D.)--Stanford University, 2017.
Location electronic resource

Access conditions

Copyright
© 2017 by Zarathustra Elessar Brady
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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