Slow Invariant Manifold of Brusselator Model

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A. K. M. Nazimuddin 1,* Md. Showkat Ali 2

1. Department of Mathematical and Physical Sciences, East West University, Dhaka-1212, Bangladesh.

2. Department of Applied Mathematics, University of Dhaka, Dhaka-1000, Bangladesh.

* Corresponding author.


Received: 30 Aug. 2019 / Revised: 25 Oct. 2019 / Accepted: 15 Nov. 2019 / Published: 8 Apr. 2020

Index Terms

Dynamical System, Differential Geometry, Flow Curvature Method, Slow Manifold.


The slow invariant manifold is a unique trajectory of the dynamical system that describes the long-time dynamics of the system’s evolution efficiently. Determining such manifolds is of obvious importance. On one hand they provide a basic insight into the dynamics of the system, on the other hand they allow a reduction of dimension of the system occurs on the invariant manifold only. If the dimension of the invariant manifold is sufficiently low, this reduction may result in substantial savings in computational costs. In this paper, differential geometry based new developed approach called the flow curvature method is considered to analyse the Brusselator model. According to this method, the trajectory curve or flow of any dynamical system of dimension  considers as a curve in Euclidean space of dimension . Then the flow curvature or the curvature of the trajectory curve may be computed analytically. The set of points where the flow curvature is null or empty defines the flow curvature manifold. This manifold connected with the dynamical system of any dimension   directly describes the analytical equation of the slow invariant manifold incorporated with the same dynamical system. In this article, we apply the flow curvature method for the first time on the two-dimensional Brusselator model to compute the analytical equation of the slow invariant manifold where we use the Darboux theorem to prove the invariance property of the slow manifold.

Cite This Paper

A. K. M. Nazimuddin, Md. Showkat Ali, "Slow Invariant Manifold of Brusselator Model", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.6, No.2, pp.79-87, 2020. DOI: 10.5815/ijmsc.2020.02.05


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