Complexity Measure in Simple Type Food Chain System
Journal Title: JOURNAL OF ADVANCES IN MATHEMATICS - Year 2013, Vol 5, Issue 1
Abstract
Study of complexities arising during evolution of a food chain system has been investigated. Regular and chaotic motions have been observed for certain sets of values of a parameter of the system. For some detailed further study, the continuous model of food chain has been transformed into discrete model by using Euler's method. Various measurable quantities for emergence of chaos, like Lyapunov exponents, topological entropies, correlation dimensions, have been numerically calculated and represented through plots. Finally, the chaos indicator, named Dynamic Lyapunov Indicator (DLI), has been used to identify clearly chaotic and regular motion.
Authors and Affiliations
L M Saha, Rajni Sharma
Keywords
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- EP ID EP651245
- DOI 10.24297/jam.v5i1.3670
- Views 223
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