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Published on: August 18, 2023
Evolution of competitive systems in nature.
Chubo Deng1,2, Xian Sun3,4,5, Rujie Guan6,7
1Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China. dengcb@aircas.ac.cn.
This study introduces a new field-theoretic framework to model competitive systems. It reveals that system evolution converges to traveling waves, oscillations, or stable equilibrium, depending on system parameters.
Area of Science:
- Theoretical Physics
- Mathematical Biology
- Complex Systems
Background:
- Competitive systems are common in nature.
- Existing models can be complex for interactions between similar objects.
Purpose of the Study:
- To develop a novel field-theoretic framework for modeling competitive systems.
- To simplify the modeling of interactions between similar objects.
- To analyze the evolutionary outcomes of competitive systems.
Main Methods:
- Developed a novel class of nonlinear partial differential equations with delta-source terms.
- Treated interacting objects as fields for simplified modeling.
- Employed mathematical models to solve for evolutionary outcomes.
Main Results:
- Demonstrated system evolution converges to three universal regimes: traveling waves, oscillations, or stable equilibrium.
- Identified phase transition criteria based on eigenvalues and supply parameters.
- Showcased the model's generality and applicability through theoretical derivations and numerical results.
Conclusions:
- The proposed framework offers a robust method for explaining antagonistic phenomena.
- The model provides a simplified yet powerful approach to understanding complex competitive dynamics.
- The findings have broad applicability across various scientific domains observing competitive interactions.
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