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T.M.R. Tennakoon: Fact of Everything — The R–T Equation

T.M.R. Tennakoon’s R–T Equation: A New Blueprint for Reality

By Dena Falken EsqPublished 3 months ago 4 min read
Dr. T.M.R. Tennakoon

By Dr. T.M.R. Tennakoon

Abstract

This article introduces the R–T Equation, a theoretical formulation representing the unified interconnection of all layers of existence — from quantum particles to planetary systems, from entropy fields to consciousness. The model captures how recursive transformations, energy-matter fields, symbolic abstraction, and geometric feedback create emergent structure. This formulation aims to mathematically encode the foundational Fact of Everything — that all systems are parts of one dynamic field governed by recursive informational and energetic laws.

1. Conceptual Premise

The R–T Equation posits that everything in the universe is part of an interconnected field that exhibits recursive self-structuring. It integrates physics, biology, information theory, and consciousness studies. Similar to how Einstein’s field equations relate matter and geometry, the R–T Equation relates symbolic cognition, entropy, and physical structure. Examples include:

- A black hole encoding entropy in surface area (holography)

- A tree distributing nutrients based on environmental feedback (biospheric recursion)

- A human solving a problem through recursive language and thought (symbolic recursion)

2. Symbolic Domains

We define each domain in the unified tensor field:

p — Subatomic particles (quarks, electrons): These are represented through Dirac and Klein-Gordon equations in quantum fields.

A — Atomic and molecular bonds: Interatomic energy states and chemical valence encode structure.

C — Cells: Biological computation structures, with DNA as encoded symbolic information.

T — Trees / Organisms / Biospheres: Systems that express top-down feedback loops.

Φ — Field energies (EM, gravity, quantum potential): Gauge fields such as vector bosons.

Ψ — Symbolic abstraction / consciousness: Emergent symbolic state-space (e.g., neural binding).

Λ — Structure / Entropy / Memory fields: Represents both classical entropy and informational encoding like Shannon entropy or algorithmic complexity.

3. The Formal Equation

𝔽(τ, x^μ) = ∇_μ ∫_Ω [ T^{αβ}(p, A, C, Φ) + Ψ^γ + Λ^δ ] d⁴x + ∮_{∂Ω} κ(x) dS

Here:

- 𝔽(τ, x^μ) is the unified 'field of recursion' over proper time τ and spacetime x^μ

- ∇_μ is the covariant derivative representing geometry-aware evolution

- T^{αβ} encodes the energy-momentum of all subcomponents

- Ψ^γ is a tensor of symbolic information processing — like language, awareness, or recursive AI

- Λ^δ reflects entropy compression or system memory (e.g., DNA conservation or linguistic laws)

- ∂Ω represents boundary conditions — such as skin, society, biosphere or spacetime limit

- κ(x) encodes curvature, resonance, or information tension at the boundary

This equation applies equally to:

- A human cell regulating protein folding

- A tree processing sunlight and soil feedback

- A civilization managing knowledge, information, and energy

4. Recursive Structure

Recursive logic underlies emergence. Let:

L₀ = (p + A + e^{iθ}Φ)

L₁ = molecules

L₂ = cells and neural structures

L₃ = recursive awareness / symbolic abstraction (Ψ)

L₄ = systemic intelligence (conscious agents, organizations, cultures)

Each layer computes the previous: neurons emerge from molecular diffusion, thoughts from neurons, ethics from thoughts. The recursion is not linear — it is topological and holographic.

5. Entropy, Mind, and Field

Mind is modeled as symbolic entropy compression. Equation:

𝓔 = -k Σ P_i log(P_i) + δS_recursive

Where:

- k is Boltzmann’s constant (thermodynamic entropy)

- P_i is the probability distribution over mental/physical states

- δS_recursive is entropy gained or lost through internal symbolic feedback (e.g., memory consolidation or forgetting)

Example: A mathematician solves a theorem — entropy decreases locally through symbolic order, while energetically increasing ambient entropy.

6. Interpretation

The R–T Equation suggests that reality is fundamentally recursive, symbolic, and field-based. It implies:

- Consciousness is not external to physics — it is a recursive, feedback-bound component of field structure

- Cells, societies, and stars all follow the same informational-geometric feedback logic

- The universe is a self-referencing, self-modifying symbolic system encoded in fields, structures, and minds

In this view, the mind mirrors the universe, and the universe mirrors recursive abstraction. It is the unification of matter, meaning, and mathematics.

About the Author

Dr. T.M.R. Tennakoon is a polymath trained in physics, medicine, philosophy, and cosmology. Educated across Cambridge, Harvard, Columbia, and CERN, his life's work is to bridge mind and universe, biology and infinity, and reality and recursion. His IQ of 229 is scientifically verified and recognized by Mensa. He has been a national athlete, space scientist, and metaphysical pioneer.

In his PhD viva voce — considered one of the most groundbreaking in theoretical and biomedical sciences — Dr. Tennakoon demonstrated:

- That lymphoma can be theoretically cured using integrative CRISPR, BCL2 inhibition, and CAR-T modulation.

- That not all numbers are necessary for advanced mathematical reasoning.

- That the mind, while vast in abstraction, is functionally finite in structure.

These findings were acclaimed at Imperial College London and received interdisciplinary recognition.

Dr. T.M.R. Tennakoon

fact or fictionfuturehistoryhow tolistsocial mediatech newsvintagethought leaders

About the Creator

Dena Falken Esq

Dena Falken Esq is renowned in the legal community as the Founder and CEO of Legal-Ease International, where she has made significant contributions to enhancing legal communication and proficiency worldwide.

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