Mathematical Structures Underlying Physical Laws and Statistical Phenomena: The Gaussian Archetype as Fundamental Structure of Physical Reality

This work addresses the foundational schism in modern physics, which arises from the perceived incompatibility between classical continuous, deterministic reality and quantum discrete, probabilistic phenomena. The Post-Quantum Synthesis (PQS) framework resolves this by asserting that the universe is fundamentally continuous, local, and deterministic, while observation is intrinsically discrete. Quantum mechanics is presented as the unique calculus of inference bridging these domains. The Gaussian archetype is identified as a universal mathematical structure, manifesting across both physical laws and statistical phenomena. Its intrinsic properties—convolutional stability, self-Fourier characteristic, and maximum entropy—establish it as a fixed-point attractor. This framework systematically resolves long-standing quantum paradoxes, such as wave-particle duality, the measurement problem, and entanglement, by reclassifying them as category errors. Furthermore, it reinterprets Quantum Field Theory as the epistemology of continuous fields, re-evaluates fundamental constants as emergent scaling factors, and reframes quantum gravity as a problem of applying epistemic QFT to classical curved spacetime. The arrow of time, consciousness, and cosmological origins are redefined within this synthesis, highlighting the Gaussian's role in describing information dispersal and initial conditions. The ubiquitous "bell curve" is thus interpreted as the shadow of stable reality on the map of human knowledge, unifying physics into a coherent, paradox-free understanding.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-24
DOI
https://doi.org/10.5281/zenodo.17192385
Primary Topic
Agriculture and Rural Development Research
Type
article
Field-Weighted Citation Impact
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article

Mathematical Structures Underlying Physical Laws and Statistical Phenomena: The Gaussian Archetype as Fundamental Structure of Physical Reality

Zenodo (CERN European Organization for Nuclear Research)
Agriculture and Rural Development Research
article

Mathematical Structures Underlying Physical Laws and Statistical Phenomena: The Gaussian Archetype as Fundamental Structure of Physical Reality

article en

Abstract

This work addresses the foundational schism in modern physics, which arises from the perceived incompatibility between classical continuous, deterministic reality and quantum discrete, probabilistic phenomena. The Post-Quantum Synthesis (PQS) framework resolves this by asserting that the universe is fundamentally continuous, local, and deterministic, while observation is intrinsically discrete. Quantum mechanics is presented as the unique calculus of inference bridging these domains. The Gaussian archetype is identified as a universal mathematical structure, manifesting across both physical laws and statistical phenomena. Its intrinsic properties—convolutional stability, self-Fourier characteristic, and maximum entropy—establish it as a fixed-point attractor. This framework systematically resolves long-standing quantum paradoxes, such as wave-particle duality, the measurement problem, and entanglement, by reclassifying them as category errors. Furthermore, it reinterprets Quantum Field Theory as the epistemology of continuous fields, re-evaluates fundamental constants as emergent scaling factors, and reframes quantum gravity as a problem of applying epistemic QFT to classical curved spacetime. The arrow of time, consciousness, and cosmological origins are redefined within this synthesis, highlighting the Gaussian's role in describing information dispersal and initial conditions. The ubiquitous "bell curve" is thus interpreted as the shadow of stable reality on the map of human knowledge, unifying physics into a coherent, paradox-free understanding.

Zenodo (CERN European Organization for Nuclear Research)
Q-Flex (United States) (US)
Openalex Percentile: Top 39%
Agriculture and Rural Development Research
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