On October 21, 2020, the invention “A multi-level and multi-dimensional dynamic system motion model construction and simulation method” was accepted by the State Intellectual Property Office of China. Through the construction and simulation of the motion model of a multi-level and multi-dimensional dynamic system, the motion trajectory of the motion factors in each dynamic system is nested and substituted into the next dynamic subsystem to establish the motion trajectory of the motion factors in its dynamic subsystem. Until the dynamic trajectory model of the motion factors in the minimum dynamic subsystem is obtained, the motion model of a multi-level and multi-dimensional dynamic system is constructed, which reveals the motion law that can unify the microscopic particles and all the motion factors in the macroscopic universe. Multiple dynamic systems are entangled systems. If the entanglement properties are obtained not by ``absolutely simultaneous'' measurements of the entangled particles, it just proves that there is no non-local hyper-distance action.
On October 21, 2020, the invention “A multi-level and multi-dimensional dynamic system motion model construction and simulation method” was accepted by the State Intellectual Property Office of China. Through the construction and simulation of the motion model of a multi-level and multi-dimensional dynamic system, the motion trajectory of the motion factors in each dynamic system is nested and substituted into the next dynamic subsystem to establish the motion trajectory of the motion factors in its dynamic subsystem. Until the dynamic trajectory model of the motion factors in the minimum dynamic subsystem is obtained, the motion model of a multi-level and multi-dimensional dynamic system is constructed, which reveals the motion law that can unify the microscopic particles and all the motion factors in the macroscopic universe. Multiple dynamic systems are entangled systems. If the entanglement properties are obtained not by ``absolutely simultaneous'' measurements of the entangled particles, it just proves that there is no non-local hyper-distance action.
ABSTRACT Over the past century, modern physics has been bifurcated into the theory of relativity explaining the macro-world and quantum mechanics dealing with the micro-world. In doing so, it has forfeited mechanical causality, relying instead on mathematical probabilities and geometric optical illusions. This paper meticulously identifies the epistemological blind spots and voids of conventional physics and proposes 'Jung Sung-mo's Grand Unified Dynamics,' which penetrates all forces and motions of the universe with a single, overarching mechanical principle. First, this study establishes the 'Theory of Absolute Intrinsic Physical Metric Relativity,' which posits that every object in the universe independently possesses its own intrinsic unit time (T) and unit distance (L). By introducing the independent metrics (Tc, Lc) of a 'Third-party Omniscient Observer ( C)' into the formulation, we present an algebraic formula for deriving relative velocity, thereby completely and mechanically dismantling the inherent contradictions and the Twin Paradox of Einstein's Special Theory of Relativity. Second, the reality of quantum phenomena, previously dismissed as mere probability clouds, is explicitly elucidated through a novel three-step verification framework: [Theoretical Formulation → Algebraic Equation Derivation → 3D Parametric Simulation Verification]. Within the Dynamic Field formed by the intrinsic motion of particles within the Static Field lattice medium, the mechanical cumulative density of multi-dimensionally superimposed and rotating particles is mathematically formulated. In particular, it visually and dynamically demonstrates via a computer simulation (Appendix A) that the geometric configurations of s, p, d, f orbitals—long considered an enigma in quantum mechanics—are not mathematical probability functions, but rather the pure mechanical outcomes of a 'Teardrop Envelope Trajectory' designed for friction avoidance between particles and a 'Surface of Revolution Scanning' across multiple planes. Ultimately, this study declares a paradigm shift toward a grand unified physics that strips away Einstein's spacetime curvature and Schrödinger's probabilistic illusions, thereby fully restoring the authentic mechanical causality of the Field that bridges the macroscopic and microscopic realms of the universe. Keywords: Grand Unified Dynamics, Mechanical Causality, Absolute Intrinsic Metric Relativity, Particle Multi-Dimensional Trajectory Dynamics, Deterministic Trajectory, Orbital Kinematics, Parametric Simulation, Probability Cloud.
This paper investigates the application of quantum entanglement to enhance the modeling of complex systems, specifically focusing on simulating intricate dynamic behaviors. We propose a novel dynamic system modeling framework predicated on the unique properties of quantum entanglement, aiming to significantly improve simulation accuracy and represent the system's inherent interconnectedness. The core mechanism involves leveraging entanglement to overcome limitations of classical simulation techniques, providing a pathway for more sophisticated modeling. This work presents a foundational structure for exploring and utilizing quantum entanglement within system dynamics, with a focus on its potential to overcome the constraints of traditional methods.
Abstract General relativity and quantum mechanics form two incompatible cornerstones of modern physics, artificially separating macroscopic and microscopic motion rules and attributing the trajectory uncertainty of microscopic particles to the intrinsic random property of particles. This paper takes the spatial compression coefficient as the core continuous variable to build a unified physical interpretation framework. The fundamental difference between macroscopic and microscopic states lies only in the continuous change of spatial compression coefficient, which determines the environmental density of universal irregular minimal matter units filling the whole space. Minimal matter units are irregular in shape with discrete moving speeds and collision forces. Microscopic particles have a similar scale to fundamental units, and continuous unobservable collisions lead to trajectory dispersion observed as randomness, while multi-directional collision disturbances on macroscopic objects offset each other to form deterministic motion. Wind tunnel multi-scale particle flow is adopted as a qualitative analogy to verify the medium disturbance mechanism. The theory eliminates artificial high/low-energy boundaries and the macro-micro rule division in conventional physics, and establishes a deterministic unified mass-energy theoretical system relying on spatial compression coefficient and omnipresent fundamental matter units. Keywords: spatial compression coefficient; spacetime density; universal fundamental matter units; microscopic particle trajectory; quantum uncertainty; medium disturbance; wind tunnel fluid analogy; unified mass-energy theory
This paper explores a novel approach to simulating complex systems by leveraging the principles of multi-layered quantum superposition. Traditional methods of simulating complex systems often struggle with computational limitations and inaccuracies, particularly when dealing with systems exhibiting intricate dynamics and numerous interacting variables. The proposed methodology addresses these challenges by decomposing the complex system into multiple quantum superposition layers. Each layer represents a specific state or aspect of the system, and the superposition principle allows for the simultaneous exploration of multiple potential states, dramatically enhancing the accuracy and efficiency of the simulation. The core claim of this research is the ability to achieve precise prediction of system behavior through this layered superposition approach. The underlying mechanism involves exploiting the inherent parallelism offered by quantum superposition, offering a fundamentally different paradigm for complex system modeling. This work establishes a new methodology for complex system simulation, promising significant advancements across various scientific and engineering domains. The presented framework provides a theoretical foundation and a conceptual design for implementing such simulations, highlighting the potential for future development and experimental validation.
This paper establishes global laws governing operational signalling in measurement-dependent models under adaptive multi-round interaction. Unlike earlier analyses based on fixed profiles or one-step behaviour, the present work studies the full dynamical evolution of the underlying probability distribution. Previous papers in the series showed that signalling is not identifiable from finite data, that repeated interaction can nevertheless generate operational distinguishability, and that one-step amplification is governed by a precise structural coefficient. The adaptive setting introduced a Bellman-type recursion and revealed a persistent multiscale regime associated with harmonic-comparable profiles. However, a global theory of the resulting dynamics was not previously available. The present paper provides that global theory. It establishes a universal exponential control law showing that multi-round signalling capacity is governed by the cumulative one-step gain. It proves a complete classification of adaptive trajectories into three regimes: head-heavy dynamics with microscopic peeling, tail-heavy dynamics with macroscopic peeling, and a critical harmonic regime with logarithmic growth. It further shows that strong universality fails at the level of profile geometry: there is no finite family of asymptotic profile classes capturing all non-collapsing trajectories. These results demonstrate a fundamental dichotomy. Adaptive signalling is universal at the level of control behaviour, but not at the level of profile dynamics. While all systems obey the same exponential law, the underlying distributions exhibit a continuum of persistent geometries. This completes the operational signalling programme developed across six works, providing a unified description of adaptive dynamics and clarifying the limits of universality in measurement-dependent systems.
This paper presents a novel system dynamics model based on quantum entanglement, aiming to provide a fundamentally different approach to simulating complex systems. Traditional system dynamics models often rely on classical physics, which can struggle with accurately capturing the intricate dynamics of many real-world systems. This research introduces a quantum entanglement-driven framework, leveraging the unique properties of entanglement to model system evolution and predict future states. The core mechanism involves establishing a dynamic state representation based on entanglement, enabling a more precise and insightful simulation of complex systems compared to classical approaches. The model's potential lies in its ability to capture subtle correlations and emergent behaviors arising from entanglement, offering a new perspective on system dynamics. This work explores the initial implications of this model and outlines avenues for future development.