Pattern formation and parameter inversion for a discrete Lotka–Volterra cooperative system
Creators
- 1. School of Science, Tianjin University of Commerce, Tianjin 300134 (China)
- 2. School of Mathematics, Tianjin University, Tianjin 300072 (China)
Description
Highlights: • Turing instability condition for a discrete cooperative model is deduced. • Interesting patterns such as spiral wave, chaos are selectively obtained. • A Newton method is applied to parameter inversion. • Numerical simulation can verify the effectiveness of the regularization method. - Abstract: In this paper, stability analysis is applied to a discrete Lotka–Volterra cooperative system with the periodic boundary conditions, then Turing pattern formation conditions can be derived, theory analysis and numerical simulation show that turing patterns can be realized. In addition, we also pay attention on what reason or what system environment to result into the current state patterns, which can be reduced to estimate or identify the system parameter. A regularization method is applied to parameter inversion, and numerical simulation can verify the effectiveness of the algorithm.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.chaos.2018.03.035Additional details
Identifiers
- DOI
- 10.1016/j.chaos.2018.03.035;
- PII
- S0960077918301334;
Publishing Information
- Journal Title
- Chaos, Solitons and Fractals
- Journal Volume
- 110
- Journal Page Range
- p. 226-231
- ISSN
- 0960-0779
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51023571
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Descriptors DEI
- ALGORITHMS; BOUNDARY CONDITIONS; CHAOS THEORY; COMPUTERIZED SIMULATION; NEWTON METHOD; PERIODICITY; STABILITY
- Descriptors DEC
- CALCULATION METHODS; ITERATIVE METHODS; MATHEMATICAL LOGIC; MATHEMATICS; SIMULATION; VARIATIONS
Optional Information
- Notes
- © 2018 Elsevier Ltd. All rights reserved.