Littlewood-Offord theory and controllability of random structures

Sean O'Rourke, Behrouz Touri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Motivated by recent developments in random matrix theory through the study of inverse Littlewood-Offord problems, we investigate the controllability of random binary symmetric matrices. We show that, as the dimension of the state space goes to infinity, the probability of (A,b) being controllable approaches one for many choices of the vector b including elements of the standard basis, the all-one vector, and random binary vectors. In particular, we verify a conjecture of Godsil [1] and show that most systems are controllable from single inputs.

Original languageEnglish (US)
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5195-5200
Number of pages6
ISBN (Electronic)9781509018376
DOIs
StatePublished - Dec 27 2016
Externally publishedYes
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: Dec 12 2016Dec 14 2016

Publication series

Name2016 IEEE 55th Conference on Decision and Control, CDC 2016

Other

Other55th IEEE Conference on Decision and Control, CDC 2016
Country/TerritoryUnited States
CityLas Vegas
Period12/12/1612/14/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Decision Sciences (miscellaneous)
  • Control and Optimization

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