Impulsive Stabilization on Hyper-Chaotic Financial System under Neumann Boundary
Xinggui Li,
Ruofeng Rao and
Xinsong Yang
Additional contact information
Xinggui Li: Department of Mathematics, Chengdu Normal University, Chengdu 611130, China
Ruofeng Rao: Department of Mathematics, Chengdu Normal University, Chengdu 611130, China
Xinsong Yang: College of Electronics and Information Engineering, Sichuan University, Chengdu 610065, China
Mathematics, 2022, vol. 10, issue 11, 1-18
Abstract:
This paper proposes a novel technique to obtain sufficient conditions for the existence and stabilization of positive solutions for a kind of hyper-chaotic financial model. Since some important economic indexes are heavily related to region, the authors consider a nonlinear chaotic financial system with diffusion, which leads to some mathematical difficulties in dealing with the infinite-dimension characteristic. In order to overcome these difficulties, novel analysis techniques have to be proposed on the basis of Laplacian semigroup and impulsive control. Sufficient conditions are provided for existence and global exponential stabilization of positive solution for the system. It is interesting to discover that the impulse strength can be larger than 1 in the newly obtained stability criterion. Numerical simulations show the effectiveness of theoretical analysis.
Keywords: chaotic dynamics; reaction diffusion; average profit margin (APM); impulse control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/10/11/1866/pdf (application/pdf)
https://www.mdpi.com/2227-7390/10/11/1866/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:10:y:2022:i:11:p:1866-:d:827704
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().