Navigation auf zora.uzh.ch

Search ZORA

ZORA (Zurich Open Repository and Archive)

The probability of primeness for specially structured polynomial matrices over finite fields with applications to linear systems and convolutional codes

Lieb, Julia (2017). The probability of primeness for specially structured polynomial matrices over finite fields with applications to linear systems and convolutional codes. Mathematics of Control, Signals, and Systems, 29(2):8.

Abstract

We calculate the probability that random polynomial matrices over a finite field with certain structures are right prime or left prime, respectively. In particular, we give an asymptotic formula for the probability that finitely many non-singular polynomial matrices are mutually left coprime. These results are used to estimate the number of reachable and observable linear systems as well as the number of non-catastrophic convolutional codes. Moreover, we are able to achieve an asymptotic formula for the probability that a parallel connected linear system is reachable.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Mathematics
Dewey Decimal Classification:340 Law
610 Medicine & health
510 Mathematics
Scopus Subject Areas:Physical Sciences > Control and Systems Engineering
Physical Sciences > Signal Processing
Physical Sciences > Control and Optimization
Physical Sciences > Applied Mathematics
Uncontrolled Keywords:Applied Mathematics, Control and Optimization, Signal Processing, Control and Systems Engineering
Language:English
Date:1 June 2017
Deposited On:10 Nov 2021 15:26
Last Modified:26 Dec 2024 02:37
Publisher:Springer
ISSN:0932-4194
OA Status:Closed
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1007/s00498-017-0191-z

Metadata Export

Statistics

Citations

Dimensions.ai Metrics
2 citations in Web of Science®
2 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

1 download since deposited on 10 Nov 2021
0 downloads since 12 months
Detailed statistics

Authors, Affiliations, Collaborations

Similar Publications