Version 1
: Received: 5 June 2021 / Approved: 7 June 2021 / Online: 7 June 2021 (14:39:21 CEST)
How to cite:
Rao, R. Multiple Stationary Solutions and Global Stabilization of Reaction-diffusion Gilpin-Ayala Competition Model under Event-triggered Impulsive Control. Preprints2021, 2021060188. https://doi.org/10.20944/preprints202106.0188.v1
Rao, R. Multiple Stationary Solutions and Global Stabilization of Reaction-diffusion Gilpin-Ayala Competition Model under Event-triggered Impulsive Control. Preprints 2021, 2021060188. https://doi.org/10.20944/preprints202106.0188.v1
Rao, R. Multiple Stationary Solutions and Global Stabilization of Reaction-diffusion Gilpin-Ayala Competition Model under Event-triggered Impulsive Control. Preprints2021, 2021060188. https://doi.org/10.20944/preprints202106.0188.v1
APA Style
Rao, R. (2021). Multiple Stationary Solutions and Global Stabilization of Reaction-diffusion Gilpin-Ayala Competition Model under Event-triggered Impulsive Control. Preprints. https://doi.org/10.20944/preprints202106.0188.v1
Chicago/Turabian Style
Rao, R. 2021 "Multiple Stationary Solutions and Global Stabilization of Reaction-diffusion Gilpin-Ayala Competition Model under Event-triggered Impulsive Control" Preprints. https://doi.org/10.20944/preprints202106.0188.v1
Abstract
In this paper, the author utilizes Saddle Theorem and variational methods to deduce existence of at least six stationary solutions for reaction-diffusion Gilpin-Ayala competition model (RDGACM). To obtain the global stabilization of the positive stationary solution of the RDGACM, the author designs a suitable impulsive event triggered mechanism (IETM) to derive the global exponential stability of the the positive stationary solution. It is worth mentioning that the new mechanism can exclude Zeno behavior and effectively reduce the cost of impulse control through event triggering mechanism. Besides, compared with existing literature, the restrictions on the parameters of the RDGACM are relaxed so that the methods used in existing literature can not be applied to the relaxed case of this paper, and so the author makes comprehensive use of Saddle Theorem, orthogonal decomposition of Sobolev space $H_0^1(\Omega)$ and variational methods to overcome the mathematical difficulty. Numerical examples show the effectiveness of the methods proposed in this paper.
Keywords
reaction-diffusion Gilpin-Ayala competition model (RDGACM); Saddle Theorem; orthogonal decomposition of Sobolev space; the second eigenvalue of Laplacian operator; impulsive event-triggered mechanism
Subject
Computer Science and Mathematics, Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
