Skip to main contentSkip to search
Episciences
Open Access Journals
Sign in(new window)
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Discrete Mathematics & Theoretical Computer Science logo
Discrete Mathematics & Theoretical Computer Science
Sign in(new window)
Articles & Issues
All articlesAll accepted articlesAll volumesLast volumeSectionsSpecial issuesAuthors
About
The journalIndexing
Boards
Publish
For authorsEthical charter
Submit
Discrete Mathematics & Theoretical Computer Science logo
Contact
|
Credits
eISSN 1365-8050
|
RSS
|
Atom
Episciences
Documentation
|
Acknowledgements
|
Publishing policy
Accessibility: non-compliant
|
Legal mentions
|
Privacy statement
|
Terms of use
  1. Home > Articles & Issues >
  2. Articles >
  3. Joint String Complex ...
Conference paper

Joint String Complexity for Markov Sources

Philippe Jacquet ORCID (1), Wojciech Szpankowski (2) (3)
(1) Alcatel-Lucent Bell Labs France [Nozay]
(2) Department of Computer Science [Purdue]
(3) Department of Computer Science [West Lafayette]
Download article
Open on HAL
Imported on
January 31, 2017
Published on
December 31, 2011
Last modified on
March 31, 2025
Volume
DMTCS Proceedings vol. AQ, 23rd Intern. Meeting on Probabilistic, Combinatorial, and Asymptotic Methods for the Analysis of Algorithms (AofA'12)
Proceedings
DOI
10.46298/dmtcs.3001
License
https://about.hal.science/hal-authorisation-v1
Information Transfer in Biological Systems
Indicators
513
Views
490
Downloads

Joint String Complexity for Markov Sources

Philippe Jacquet ORCID (1), Wojciech Szpankowski (2) (3)
(1) Alcatel-Lucent Bell Labs France [Nozay]
(2) Department of Computer Science [Purdue]
(3) Department of Computer Science [West Lafayette]
Abstract
String complexity is defined as the cardinality of a set of all distinct words (factors) of a given string. For two strings, we define $\textit{joint string complexity}$ as the set of words that are common to both strings. We also relax this definition and introduce $\textit{joint semi-complexity}$ restricted to the common words appearing at least twice in both strings. String complexity finds a number of applications from capturing the richness of a language to finding similarities between two genome sequences. In this paper we analyze joint complexity and joint semi-complexity when both strings are generated by a Markov source. The problem turns out to be quite challenging requiring subtle singularity analysis and saddle point method over infinity many saddle points leading to novel oscillatory phenomena with single and double periodicities.
Keywords
  • [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
  • [INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
  • [MATH.MATH-CO]Mathematics [math]/Combinatorics [math.CO]
  • [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG]
  • saddle point method.
  • double depoissonization
  • double Mellin transform
  • semi-complexity
  • String complexity
Cited by

Source: OpenCitations

  • Joint string complexity for Markov sources: Small data matters

    Theoretical Computer Science

    Authors : Philippe Jacquet, Dimitris Milioris, Wojciech Szpankowski ORCID

    Journal reference : Volume 844, 2020, pp. 46-80

    DOI : 10.1016/j.tcs.2020.08.002
  • Joint Sequence Complexity: Introduction and Theory

    Topic Detection and Classification in Social Networks

    Authors : Dimitrios Milioris

    Journal reference : Volume , 2017, pp. 21-56

    DOI : 10.1007/978-3-319-66414-9_3
  • Classification of Markov sources through joint string complexity: Theory and experiments

    2013 IEEE International Symposium on Information Theory

    Authors : Philippe Jacquet, Dimitris Milioris, Wojciech Szpankowski ORCID

    Journal reference : Volume , 2013, pp. 2289-2293

    DOI : 10.1109/isit.2013.6620634
  • Joint Sequence Complexity Analysis: Application to Social Networks Information Flow

    Bell Labs Technical Journal

    Authors : Dimitrios Milioris, Philippe Jacquet

    Journal reference : Volume 18, 2014, pp. 75-88

    DOI : 10.1002/bltj.21647
  • Average redundancy of the Shannon code for Markov sources

    2013 IEEE International Symposium on Information Theory

    Authors : Neri Merhav ORCID, Wojciech Szpankowski ORCID

    Journal reference : Volume , 2013, pp. 1919-1923

    DOI : 10.1109/isit.2013.6620560
Preview
Loading PDF preview...