Saddle-node bifurcation

Statistics

Physics

Statistical physics

Mathematical analysis

Artificial intelligence

Nonlinear system

Attractor

Invariant (physics)

Programming language

Chaotic

Bifurcation

Applied mathematics

Mathematics

Mathematical physics

Computer science

Discrete time and continuous time

Quantum mechanics

Continuation

Fractal and Fractional

Analytically and numerically, the study examines the stability and local bifurcations of a discrete-time SIR epidemic model. For this model, a number of bifurcations are studied, including the transcritical, flip bifurcations, Neimark–Sacker bifurcations, and strong resonances. These bifurcations are checked, and their non-degeneracy conditions are determined by using the normal form technique (computing of critical normal form coefficients). We use the MATLAB toolbox MatcontM, which is based on the numerical continuation method, to confirm the obtained analytical results and specify more complex behaviors of the model. Numerical simulation is employed to present a closed invariant curve emerging from a Neimark–Sacker point and its breaking down to several closed invariant curves and eventually giving rise to a chaotic strange attractor by increasing the bifurcation parameter.

Dynamical Behaviors of an SIR Epidemic Model with Discrete Time