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February 2, 20260 citationsOpen Access

Black-Scholes as a Resolution Geometry Theorem: Deriving Option Pricing from Membrane Tension Minimization

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JCJason Connerty

Key Points

  • The aim is to show how the Black-Scholes equation can derive from the principles of membrane tension minimization in a geometric framework.
  • Introduced Resolution Geometry to analyze option pricing as a tension-minimizing problem.
  • Mapped the price-time plane and analyzed the option price surface in relation to membrane behavior.
  • Transformed to logarithmic coordinates to simplify the Black-Scholes equation.”],
  • The Black-Scholes equation can be derived as a gradient flow describing the evolution of the option price surface.
  • The option price surface behaves analogously to a soap film, indicating minimal surface properties.
  • Curvature (Gamma) acts as a reaction force, demonstrating an interconnectedness of financial pricing and geometric optimization.

Abstract

This companion paper demonstrates that the Black-Scholes partial differential equation emerges naturally from Resolution Geometry's framework of membrane tension minimization. The (S, t) price-time plane functions as a 2D scaffold; the option price surface V(S,t) is a fold over this scaffold; and the Black-Scholes PDE is the constrained tension-minimizing evolution (a gradient flow) for this surface under no-arbitrage conditions. The key insight is that the option price surface behaves like a soap film (minimal surface), not a stiff plate. The system minimizes Delta-squared (gradient/tension), and Gamma (curvature) emerges as the reaction force. By transforming to logarithmic coordinates—the 'fundamental scaffold' where the geometry is flat—the Black-Scholes equation reveals itself as pure diffusion with drift, with all metric corrections vanishing. This mapping suggests that financial derivatives pricing and gravitational physics share a common mathematical substrate: both are optimization problems on 2D manifolds with finite distinguishability capacity. Resolution Geometry is therefore not merely a framework for physics, but for any system characterized by finite capacity, conservation requirements, and cost minimization dynamics.

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Cite This Study

Jason Connerty (2026) studied this question.

synapsesocial.com/papers/6980fecbc1c9540dea8112bahttps://doi.org/10.5281/zenodo.18445818
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