Chaotic dynamics in the presence of medical malpractice litigation: a topological proof via linked twist maps for two evolutionary game theoretic contexts
Marina Pireddu

TL;DR
This paper demonstrates the presence of chaotic dynamics in evolutionary game models of medical malpractice and ecological systems by applying linked twist maps to systems with seasonal parameter variations.
Contribution
It introduces a novel topological proof of chaos in these models using linked twist maps, considering seasonal parameter dependence and extending ecological interpretations.
Findings
Chaotic dynamics proven for models with seasonal parameter variation.
Linked twist maps effectively demonstrate chaos in both medical and ecological contexts.
Models exhibit complex, unpredictable behavior under certain conditions.
Abstract
In the present work we reconsider the evolutionary game theoretic models by Antoci et al. (2016, 2018) describing the dynamic outcomes arising from the interactions between patients and physicians, whose behavior is subject to clinical and legal risks. In particular, Antoci et al. (2016) analyzed the case of positive defensive medicine, while Antoci et al. (2018) dealt with the case of negative defensive medicine. We show that, when the models admit a nonisochronous center, it is possible to prove the existence of chaotic dynamics for the Poincar\'e map associated with those systems via the method of Linked Twist Maps (LTMs). To such aim we exploit in both frameworks, using a similar rationale, the periodic dependence on time of a model parameter influencing the position of the center and describing some risk associated with certain medical interventions, whose seasonal variation is…
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