A research and academic program on Fluid Dynamical Systems has been introduced by Prof. Dr. Rui A. P. Perdigão, entailing his generalised class of dynamical systems beyond the classical ergodic stochastic-deterministic paradigms. Rui’s advances have brought out a unified mathematical physics of coevolutionary complexity, bridging nonlinear statistical physics, analytical mechanics, functional analysis, theoretical thermodynamics, information theory and differential geometry in a unified framework.
Rui Perdigão’s Fluid Dynamical Systems: from Quantum Gravitation to Thermodynamic Cosmology, provides a detailed account on that ongoing journey reshaping the foundations of mathematical physics, along with interdisciplinary applications.
The scientific relevance of Fluid Dynamical Systems ranges across the dynamics, analytics and predictability of complex coevolutionary systems — beyond the classical notions of fluid mechanics and beyond the traditional paradigms of stochastic dynamical systems.
The fundamental mathematical versatility of Fluid Dynamical Systems enables the unified treatment of diverse problems ranging from quantum electrohydrodynamics to the coevolutionary earth system and astrophysical dynamical systems, shedding fundamental mechanisms and governing principles across spatiotemporal scales.
Special relevance arises from its central role in providing fundamental physical understanding and dynamic predictability to critical phenomena such as extreme events, including “black swan” behaviour unforeseen from past data records and from the ensemble of possibilities spun by classical dynamical system theories. We are taken on a journey to unveil hidden predictability in seemingly unpredictable phenomena.
Mathematical applications are also explored, ranging from advancing the kinematic geometry of space-time manifolds to the non-local differential geometry of fractal structures, and providing a more fundamental analytical background to probability theory, nonlinear statistics and information theory, including in far-from-equilibrium and non-ergodic coevolutionary settings in nonlinear statistical physics following recent advances by the author and program coordinator.
Engineering applications covered in the program include dynamic model design and decision support in the wake of environmental hazards and fluid-structure interaction challenges in a coevolutionary world. Moreover, they include structural-functional design and traffic optimisation for telecommunication and transportation networks.
Academically, these advances are already being delivered into Rui Perdigão’s frontier courses on Fluid Dynamical Systems, Complex System Dynamics and related disciplines. Since their inception, Rui’s courses on Fluid Dynamical Systems courses have been held by himself at the Vienna University of Technology (TU Wien), Austria, later expanding to become a full-fledged inter-university multi-disciplinary academic and research chair.
Following international invitations, Rui’s courses also became available in condensed form through international courses, workshops and seminar series, aside from consulting packages to big data analytics, model design and risk assessment entities.
The overall research and academic program of Fluid Dynamical Systems is now integrated in the Meteoceanics Institute for Complex System Science, which is also chaired by Rui Perdigão. The courses are delivered internally and at partner universities.
The general program encompasses a brief review on fluid dynamics and physics of complexity, then progressing to an in-depth presentation of the recent fundamental contributions from the coordinator shaping this field beyond the realms of both fluid mechanics and dynamical systems. In this sense, Fluid Dynamical systems are neither to be confused with fluid mechanics nor with dynamical systems approaches to fluid flow.
A promotional poster for the academic program in Fluid Dynamical Systems is presented below:
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You may also wish to take a look at some of our courses e.g. on Information Physics and Evolutionary Complexity and Complex System Dynamics, introduced by Rui Perdigão at M-DSC and available at partner universities.