Chaos in a Generalized Perturbed Lotka–Volterra Model

In this paper we investigate the chaos of a generalized perturbed Lotka–Volterra model based on considerations by other studies used in the literature. The model, containing N number of free parameters, could be of interest to specialists working in the fields of biological applications, chemistry, reaction kinetics, biostatistics, games theory, etc. With a specially developed software product, we generate the Melnikov equation M(t)=0 and examine all its zeros. This opens up an opportunity for the researcher to correctly understand and formulate the classical Melnikov criterion for the possible occurrence of chaos in the dynamical system. Several simulations are composed. We also demonstrate some specialized modules for investigating the dynamics of the proposed model. We further develop our model using the exponential form of the sine function. Thus, the perturbation can be interpreted as a term dependent on the characteristic function of a probability distribution. Although the original formulation leads to a distribution stated on a discrete domain, we can easily generalize the results for arbitrary distributions. Some particular examples are provided.

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Publication Details

Journal
Mathematics
Published
2026-01-09
DOI
https://doi.org/10.3390/math14020247
Primary Topic
stochastic dynamics and bifurcation
Type
article
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article

Chaos in a Generalized Perturbed Lotka–Volterra Model

Tsvetelin Zaevski, Asen Rahnev, Vesselin Kyurkchiev, Angel Golev et al.
Mathematics
stochastic dynamics and bifurcation
article

Chaos in a Generalized Perturbed Lotka–Volterra Model

Tsvetelin Zaevski, Asen Rahnev, Vesselin Kyurkchiev, Angel Golev, Anton I. Iliev, Nikolay Kyurkchiev
article en

Abstract

In this paper we investigate the chaos of a generalized perturbed Lotka–Volterra model based on considerations by other studies used in the literature. The model, containing N number of free parameters, could be of interest to specialists working in the fields of biological applications, chemistry, reaction kinetics, biostatistics, games theory, etc. With a specially developed software product, we generate the Melnikov equation M(t)=0 and examine all its zeros. This opens up an opportunity for the researcher to correctly understand and formulate the classical Melnikov criterion for the possible occurrence of chaos in the dynamical system. Several simulations are composed. We also demonstrate some specialized modules for investigating the dynamics of the proposed model. We further develop our model using the exponential form of the sine function. Thus, the perturbation can be interpreted as a term dependent on the characteristic function of a probability distribution. Although the original formulation leads to a distribution stated on a discrete domain, we can easily generalize the results for arbitrary distributions. Some particular examples are provided.

MathematicsVol. 14(2)
Plovdiv University (BG), Bulgarian Academy of Sciences (BG), Institute of Mathematics and Informatics (BG), Institute of Information and Communication Technologies (BG), Sofia University "St. Kliment Ohridski" (BG)
Openalex Percentile: Top 92%
stochastic dynamics and bifurcation
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Chaos in a Generalized Perturbed Lotka–Volterra Model — Tsvetelin Zaevski, Asen Rahnev, et al. · Mathematics (2026) | TGRS Research Map | TGRS