Joint String Complexity for Markov Sources
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 $\textit{joint semi-complexity}$...
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| Published in: | Discrete mathematics and theoretical computer science Vol. DMTCS Proceedings vol. AQ,...; no. Proceedings; pp. 303 - 322 |
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| Main Authors: | , |
| Format: | Journal Article Conference Proceeding |
| Language: | English |
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DMTCS
01.01.2012
Discrete Mathematics and Theoretical Computer Science Discrete Mathematics & Theoretical Computer Science |
| Series: | DMTCS Proceedings |
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| ISSN: | 1365-8050, 1462-7264, 1365-8050 |
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| 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. |
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| AbstractList | 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. |
| Author | Jacquet, Philippe Szpankowski, Wojciech |
| Author_xml | – sequence: 1 givenname: Philippe surname: Jacquet fullname: Jacquet, Philippe organization: Alcatel-Lucent Bell Labs France [Nozay] – sequence: 2 givenname: Wojciech surname: Szpankowski fullname: Szpankowski, Wojciech organization: Department of Computer Science [Purdue] |
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| Keywords | double Mellin transform String complexity saddle point method semi-complexity double depoissonization |
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| Snippet | 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... |
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| SubjectTerms | [info.info-cg] computer science [cs]/computational geometry [cs.cg] [info.info-dm] computer science [cs]/discrete mathematics [cs.dm] [info.info-ds] computer science [cs]/data structures and algorithms [cs.ds] [math.math-co] mathematics [math]/combinatorics [math.co] Combinatorics Computational Geometry Computer Science Data Structures and Algorithms Discrete Mathematics double depoissonization double mellin transform Mathematics saddle point method semi-complexity string complexity |
| Title | Joint String Complexity for Markov Sources |
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