Dynamics of Powdery Mildew Transmission in Cashew Plants Under Lévy Noise: A Nonlinear Stochastic Model

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Authors: Albert Kouchéré Guidzavaï, Hamadjam Abboubakar, Joseph Mbang, Rashid Jan
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Abstract

Powdery Mildew is a global plant disease caused by fungal species, causing powdery growth on various parts of plants. This study aims to develop, evaluate and simulate the transmission dynamics of Powdery Mildew in cashew plants using a stochastic differential equation with Lévy noise. After providing some preliminary definitions of stochastic differential equations, we first consider the model without noise. We prove positivity, compute the basic reproduction number, R0, the PMD-free equilibrium, and the existence of a unique endemic equilibrium point whenever R0>1. After that, we formulate the stochastic model under Lévy noise. For this model, we also prove the positivity of the solutions and show that it is possible to extend the disease when Ss1. To simulate the model, we build a stochastic model numerical scheme and do a number of numerical simulations to support the theoretical findings we have gotten.

Fields of Study & Subjects

Mathematical and Theoretical Epidemiology and Ecology Models Powdery Mildew Fungal Diseases Nonlinear Differential Equations Analysis

Publication details

Journal / source
Axioms
Volume
15
Issue
2
Pages
143–143
Publication date
15 February 2026
Language
EN