Dual–Flux Framework

Emergence of Time, Space, Matter, and Quantum Phenomena
from Two Informational Fluxes

What is Dual–Flux?

The Dual–Flux (DF) framework starts from just two informational flows, a coherent flux Φ⁺ and a fragmentary flux Φ⁻, interacting on a dynamically maintained present surface P₀. From this minimal architecture, the series reconstructs the emergence of space, time, particles, quantum phenomena, interactions, cosmology, and even arithmetic structures.

Foundation 0 gives the conceptual overview. Parts I–IX then develop the full technical framework step by step.

DF Series

Select a part to see a short summary and the link to the corresponding Zenodo PDF.

Entry point

Foundation 0 — Introduction

Conceptual overview of the Dual–Flux programme: present surface, two fluxes, finite memory, and how the nine parts fit together.

Part I

Emergence of Spacetime

Emergence of the present surface, causal channels, and effective 3D geometry from temporal phase degeneracy.

Part II

Dynamics on P₀

TDGL-like finite-memory dynamics on the present surface, causality, and the emergence of inertial response.

Part III

Ricci & Gravitation

Equivalence principle and effective Ricci geometry as properties of the DF memory kernel on P₀).

Part IV

Composites

Tripoles, composite structure, three families, and mass hierarchies from the DF sector algebra.

Part V

Interactions

Gauge sectors as continuous closures of discrete present-time symmetries and channel projectors.

Part VI

Phenomenology

Masses, couplings, lifetimes, and simple quantum interference patterns, with explicit falsifiability windows.

Part VII

Cosmology

Emergence of FLRW geometry, dark components, and MOND-like behaviour from the long-memory sector.

Part VIII

Coheron & Quantum Phenomena

Coheron differentiation, superposition, decoherence, and the Born rule as emergent properties of finite memory.

Part IX

DF Arithmetic

Additive–multiplicative balance, Goldbach with two thresholds, and the critical line of the Riemann zeta function in DF language.

Epilogue

Evolution

Informational Darwinism and the Inevitability of Evolution. A Speculative Note
Applied DF

Supra-Neural Architecture

Conceptual and structural notes on supra-neural organisation, information flow, and emergent cognitive constraints.

Dual–Flux AI Agent

Explore the Dual–Flux framework interactively. The DF Agent is a specialised ChatGPT assistant trained on the entire DF series. Ask questions, request explanations, or dive deeper into the structure of emergence.

Example questions you can ask:

  • “Can you summarise Dual–Flux for me?”
  • “What does Dual–Flux bring compared to current physics?”
  • “How does DF derive particle masses?”
  • “Why does DF not require inflation?”
  • “How does the Dual-Flux (DF) framework treat or reinterpret BCS theory?”
  • “Explore where the relation E=mc² comes from?”
Launch the DF Agent

Dual–Flux: Core Documents

The Dual–Flux framework is developed across a series of interconnected documents. The texts below present an exploratory, present-based framework and do not claim experimental validation.

  • Dual–Flux: Foundations Before Space and Time

    A Conceptual Overview of the DF Framework.
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  • Part I — Foundations

    Emergence of Present, Space, Time, and Causal Channels
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  • Part II — Foundations

    Dynamics on the Present Surface P₀.
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  • Part III — Emergent Dynamics and Geometry

    TDGL-like evolution, memory kernels, inertia, and emergent spacetime behaviour.
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  • Part IV — Particle Structure

    Closed excitations, tripoles, torsion branches, and family structure.
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  • Part V — Interactions and Gauge Structure

    Closure-induced interactions and emergent gauge symmetries.
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  • Part VI — Quantum Phenomenology

    Coherence, decoherence, finite memory, and effective quantum descriptions.
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  • Part VII — Cosmology

    Large-scale dynamics, dark-sector phenomenology, and MOND-like regimes.
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  • Part VIII — Mathematical Structure

    Stability, coercivity, and internal constraints of the framework.
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  • Part IX — Arithmetic Correspondence

    Dual–Flux structure mirrored in arithmetic and the critical strip.
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  • Epilogue

    Informational Darwinism and the Inevitability of Evolution.
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  • Applied DF

    Learning Without Algorithms: A Superconducting Neuron With Finite Memory
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