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Complex analysis of a finance system and generalized synchronization for n-dimension

GPIC 2026
Muhammad Fiaz, Speaker at Physics Conferences
Independent Researcher, Pakistan
Title : Complex analysis of a finance system and generalized synchronization for n-dimension

Abstract:

The article in hand is the study of complex features, such as zero Hopf bifurcation, chaos, and synchronization, of integer and fractional order versions of a new 3D finance system.Trusted tools of averaging theory and active control method are utilized for the investigation of zero Hopf bifurcation and synchronization, respectively, for both versions of the system. The novelty of this paper is to find the answer to the following question: is it possible to find a chaotic system that can be synchronized with any other of the same dimension Based on different examples, we categorically develop a theory that if a couple of master and slave chaotic dynamical systems is synchronized by selecting a suitable gain matrix with special conditions, then the master system is synchronized with any chaotic dynamical system of the same dimension. With the help of this study, we developed generalized theorems for synchronization of n-dimension dynamical systems for integer and fractional versions. We proposed that this investigation will contribute a lot to control dynamical systems, will shorten the required criteria to synchronize the system under consideration with any other chaotic system of the same dimension, and ultimately, will minimizethecost. Chaotic properties of fractional version of the new finance system are also analyzed at fractional order q = 0.87. Simulations results, where required, are also provided to authenticate the analytical study.

Biography:

Dr. M. Fiaz is a mathematician and logistics expert specializing in nonlinear dynamics, chaos theory, and supply chain management. He earned his PhD in Applied Mathematics from the Institute of Space Technology, Islamabad (2021), where his research focused on bifurcation and chaos in nonlinear systems.Dr. Fiaz served in the Pakistan Air Force from 1999 to 2023, where he led large-scale logistics operations managing inventory for multiple airborne weapon systems. He pioneered the development of the Pakistan Automated Logistics Management System, an ERP solution that streamlined inventory management and procurement processes while significantly reducing operational costs.His research bridges theoretical mathematics and practical applications in finance and supply chain management. He has published extensively in prestigious journals including Chaos, Solitons & Fractals, AIP Advances, and the International Journal of Bifurcation and Chaos. His recent work successfully synchronized supply chain management and financial systems, demonstrating the real-world applications of chaos theory.Dr. Fiaz has been recognized with the Chancellor Gold Medal from Riphah International University and multiple distinctions from the Pakistan Air Force. He serves as a peer reviewer for leading scientific journals and presented his research at Dynamics Days US 2025 in Denver, Colorado. He is proficient in MATLAB, Python, and LaTeX, and continues his independent research in complex systems while seeking advanced positions in interdisciplinary applied mathematics.

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