Sound Light Information Continuum Version 1.4

Sound Light Information Continuum (v1.4) This paper proposes that acoustic waves (phonons), electromagnetic radiation (photons), and cognitive dynamics are not disconnected physical phenomena, but velocity-dependent phase-states of a single, substrate-independent Information Continuum. Key Framework Highlights: Physical and Mathematical Bridge: Sound and light are connected across 40 octaves of harmonic frequency scaling and unified under a single master field equation where phase velocity determines whether the field manifests as electromagnetic radiation (v = c) or longitudinal pressure waves (v < c). Cross-Modal Form Invariance: Demonstrates that structural Information Content remains invariant across neural, mechanical, and photonic state transitions, establishing information as a fundamental ontological primitive rather than a physical byproduct. Reversal of Causality in Biology: Challenges materialism-first neuroscience by arguing that pre-existing Universal Information acts as the evolutionary driver that constructs biological hardware (brain/neurons), reversing the traditional hardware creates software paradigm. Cosmic Processing and Server Nodes: Models individual human brains not as isolated processing units, but as single functional neurons within a distributed universal network, with specific human architectures acting as high-capacity information server nodes. Cosmological Primordial Boundary: Addresses the t = 0 stellar paradox by positing primordial information/sound energy as the causal boundary condition for physical matter and cosmic structure. This version (v1.4) provides a consolidated master framework including formal mathematical wave dynamics, cross-modal transfer logic, and comparative analysis against standard reductionist physics and neuroscience models.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-21
DOI
https://doi.org/10.5281/zenodo.21862251
Primary Topic
Plant and Biological Electrophysiology Studies
Type
preprint
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Sound Light Information Continuum Version 1.4

Tiwari Abhishek
Zenodo (CERN European Organization for Nuclear Research)
Plant and Biological Electrophysiology Studies
preprint

Sound Light Information Continuum Version 1.4

Tiwari Abhishek
preprint en

Abstract

Sound Light Information Continuum (v1.4) This paper proposes that acoustic waves (phonons), electromagnetic radiation (photons), and cognitive dynamics are not disconnected physical phenomena, but velocity-dependent phase-states of a single, substrate-independent Information Continuum. Key Framework Highlights: Physical and Mathematical Bridge: Sound and light are connected across 40 octaves of harmonic frequency scaling and unified under a single master field equation where phase velocity determines whether the field manifests as electromagnetic radiation (v = c) or longitudinal pressure waves (v < c). Cross-Modal Form Invariance: Demonstrates that structural Information Content remains invariant across neural, mechanical, and photonic state transitions, establishing information as a fundamental ontological primitive rather than a physical byproduct. Reversal of Causality in Biology: Challenges materialism-first neuroscience by arguing that pre-existing Universal Information acts as the evolutionary driver that constructs biological hardware (brain/neurons), reversing the traditional hardware creates software paradigm. Cosmic Processing and Server Nodes: Models individual human brains not as isolated processing units, but as single functional neurons within a distributed universal network, with specific human architectures acting as high-capacity information server nodes. Cosmological Primordial Boundary: Addresses the t = 0 stellar paradox by positing primordial information/sound energy as the causal boundary condition for physical matter and cosmic structure. This version (v1.4) provides a consolidated master framework including formal mathematical wave dynamics, cross-modal transfer logic, and comparative analysis against standard reductionist physics and neuroscience models.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Plant and Biological Electrophysiology Studies
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