Indefinite Descriptive Proximities Inherent in Dynamical Systems. An Axiomatic Approach
James Francis Peters, Tane Vergili, Fatih Ucan, Divagar Vakeesan
TL;DR
This work develops an axiomatic framework for indefinite descriptive proximities in dynamical systems, introducing the indefinite descriptive distance $d^{\lim\Phi}$ and the induced indefinite descriptive Hausdorff topology $(\mathcal{K}_{\Phi},d_H^{\Phi},\tau_H^{\Phi})$. It proves foundational results that every descriptive proximity space on a dynamical system is indefinite (Theorem 1) and that every dynamical system possesses an indefinite descriptive Hausdorff topology (Theorem 3), while also establishing that the waveform energy $E_{m(t)}$ varies with each clock tick (Theorem 4). The paper then develops a practical application using a relaxed proximity $\delta_{\Phi_o}$ and Hilbert envelope lobes to detect and quantify stable, low-energy-dissipation portions of system waveforms. Overall, the work connects descriptive proximity theory with dynamical-system energy analysis to identify stable regions in complex, self-similar or chaotic dynamics, providing a rigorous axiomatic toolkit for probing energy dissipation and stability in dynamical scenes.
Abstract
This paper introduces indefinite proximities inherent in the collection of physical objects found in a dynamical system. Axiomatically, these indefinite proximities lead to a new form of Hausdorff topology, which is indefinite descriptively. The main results in this paper are (1) Every descriptive proximity space on a dynamical system is indefinite (Theorem 1), (2) Every dynamical system has an indefinite descriptive Hausdorff topology (Theorem 3), and (3) The energy of a dynamical system varies with every clock tick (Theorem 4). An application of these results is given in terms of the detection of those portions of a dynamical system that are stable and that have low energy dissipation.
