The Hidden Mathematics of Telepathic Communication and Masterminding: A Dynamical Systems and Quantum-Symmetry Framework
Year: 2026
Type: preprint
Abstract: The phenomenon of collective cognition, often vernacularly termed "telepathy" or "masterminding," has long resided at the periphery of rigorous scientific inquiry due to the absence of a formal mathematical architecture capable of describing non-local informational coupling across conscious agents. Traditionally, neuroscientific models have treated the human brain as an isolated, bounded computational module, dismissing trans-personal cognitive alignment as coincidental or anomalous. This paper establishes a rigorous theoretical framework uniting non-linear dynamical systems theory, quantum-symmetry groups, and topological mechanics to model the emergence of shared cognitive manifolds. By conceptualizing individual minds as coupled limit-cycle oscillators operating within a high-dimensional Hilbert space, we derive a set of master equations governing phase synchronization, topological braiding of neural trajectories, and inter-subjective resonance. Furthermore, we introduce the concept of the Collective Intentionality Manifold () and demonstrate how continuous symmetry groups, such as and Lorentz-invariant cognitive fields, dictate the transmission efficiency, fidelity, and phase-locking velocity of subconscious data packets. We also examine how topological invariants protect collective problem-solving structures from environmental decoherence and cognitive noise. By bridging the chasm between speculative cognitive phenomena and rigorous mathematical physics, this work provides foundational equations, predictive benchmarks, and analytical tools for understanding group intelligence, collective flow states, and advanced theoretical parapsychology, setting the stage for synthetic neural interfaces and global consciousness architectures.
Author: Mageed, Ismail A
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7225234219