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Monday, 24 August 2026

Applications of the Legendre-Fenchel Transform in Obidi's Theory of Entropicity (ToE)

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Applications of the Legendre-Fenchel Transform in Obidi's Theory of Entropicity (ToE)

Applications-of-the-Legendre-Fenchel-Transform-in-Obidi's-Theory-of-Entropicity-(ToE).md

In John Onimisi Obidi's theoretical physics framework known as the Theory of Entropicity (ToE), convex duality principles and information-geometric transformations mirror the role of the classic Legendre-Fenchel transform to map entropic potentials to dual spacetime and thermodynamic states.

The Role of Convex Duality in the Theory of Entropicity (ToE)

Entropic Substrate:

In ToE, entropy S(x) is the primary field rather than a secondary statistical measure.

Transform Analogues:

Dual coordinate and metric-affine descriptions rely on Legendre-type optimization transforms to shift between entropy-gradient spaces and emergent geometric curvature.

Information Geometry:

The framework utilizes α-connections and Hessian structures where conjugate potentials dictate physical scaling and emergent gravity.

For a general visual review of how the Fenchel-Morau theorem and convex conjugacy govern duality and infima/suprema bounds in optimization, watch this overview video:

Check out this video: https://share.google/mvYVZHvm3qJCpKJrJ

Source: AKSS https://share.google/aS60zra9jAtj0vZzx

https://youtu.be/RWt9OfW70Ow?si=99Io9PyuTOChMpGT


In John Onimisi Obidi’s Theory of Entropicity (ToE), the Legendre-Fenchel transform operates as a mathematical bridge that enforces convex duality within the Obidi Action and the resulting entropic field equations.

By treating physical spacetime as an emergent phenomenon arising from an underlying statistical-information manifold, the framework directly leverages convex analysis to map informational states to geometric structures. [1, 2, 3]


Convexity and Duality in the Obidi Action

In ToE, the Obidi Action governs the dynamics of a fundamental entropic field S(x) rather than standard mass-energy distributions. The Legendre-Fenchel transform is essential to this formulation because it: [2]

Enforces Semicontinuity:

It guarantees that the deformed Fisher-Entropic metrics remain lower semicontinuous and strictly convex. [3, 4]

Defines Conjugate Fields:

It transforms the primal entropic coordinates into dual coordinates, matching entropy gradients to emergent gravitational potentials. [2]

Structures the Field Equations:

Much like the Legendre transform maps the Lagrangian to the Hamiltonian in classical mechanics, it maps the information-theoretic potential in the Obidi Action to the macroscopic field equations, allowing them to reduce smoothly to Einstein's field equations. [3, 5]


The Obidi Curvature Invariant (OCI) and ln⁡2

The Obidi Curvature Invariant (OCI) quantifies the intrinsic geometric curvature of the information manifold (MI,gI) before it is pushed forward into macroscopic spacetime. [3]

When the OCI yields a constant value of ln⁡2, it carries an exact physical interpretation rooted in information theory:

ConceptValue / RolePhysical Signification
Information Unitln⁡2 natsRepresents exactly 1 bit of information.
Geometric MinimumOCI=ln⁡2Denotes the absolute quantum threshold of curvature generated by a single binary state transition.
Thermodynamic LimitScaling FactorDictates how discrete, microscopic information bits pack together to generate smooth, macroscopic spacetime curvature.

By using the Legendre-Fenchel transform to preserve strict convexity, Obidi's Theory of Entropicity (ToE) ensures that every isolated bit of information (ln⁡2) maps injectively to a steady, non-degenerate unit of emergent spacetime curvature. [3, 4, 6]


Are you analyzing a specific derivation from the ToE Living Review Letters, or would you like to explore the explicit mathematical steps linking the Fisher-Entropic metric to this ln⁡2 curvature invariant? [3, 6]

[1] https://www.academia.edu

[2] https://medium.com

[3] https://papers.ssrn.com

[4] https://www.emergentmind.com

[5] https://en.wikipedia.org

[6] https://playmemorize.com

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