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University of Illinois at Urbana-Champaign

Explicit pseudorandom distributions for restricted models of computation

Abstract

dc:description

How can we understand the (provable) limitations of concrete models of computation? Answering this question is a necessary step for resolving the central unsolved problems of complexity theory, such as the "P vs NP" problem, and the "P vs BPP" problem. Many applications, such as cryptography, require more specifically a robust limitation, which is a computational task that bounded-complexity algorithms cannot even approximately perform. The topic of this thesis is pseudorandom distributions (for low-complexity models), which give a particularly clean way of exhibiting such limitations; a pseudorandom distribution is an (efficiently generated) random distribution over certain objects such that no low-complexity test function can reliably distinguish a typical example from a typical nonexample. This thesis is based on the pseudorandom distributions constructed and analyzed in our works [1, 2, 3, 4], each of which exhibits a robust limitation of one of the following particular computational models: - (Any-order) Read Once Branching Programs (a computational model capturing certain small space algorithms), - Constant-Depth Circuits (a computational model capturing certain highly parallelizable algorithms), - Polynomial Threshold Functions (a simple geometric model of computation that arises naturally e.g. in the context of learning theory), and - Multiparty Communication Protocols (an abstract model of computation useful for studying systems which are limited primarily by some communication bottleneck).

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2024

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kelley, Zander
Contributors dc:contributor
  • Forbes, Michael
  • Chekuri, Chandra
  • Erickson, Jeff G
  • Meka, Raghu

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright 2024 Zander Kelley
Language dc:language
en, eng

Identifiers

dc:identifier.*
Handle dc:identifier
https://hdl.handle.net/2142/125572

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Kelley, Zander. Explicit pseudorandom distributions for restricted models of computation. Dissertation thesis, University of Illinois at Urbana-Champaign, 2024. https://hdl.handle.net/2142/125572