I’ve been working on something I call the EMIS Framework v0.5.2(Energy–Matter–Information-Spacetime)— Modeling Economics as a Low-Dimensional Energy System.

The core idea:

Treat the economy as a constrained 2D energy manifold where money is a bookkeeping layer over energy allocation, and macro structure emerges holographically from boundary-level discrete transactions.

Very roughly:

L1 — 2D Manifold Hypothesis Social/economic systems behave like low-dimensional constrained surfaces rather than high-entropy volumetric systems. This reframes growth, inflation, and inequality as curvature problems rather than equilibrium problems.

L2 — JT-Gravity Analogy Introducing a Jackiw–Teitelboim–like action to model macro constraints. Policy acts like boundary condition manipulation rather than “force injection.”

L3 — Holographic Mapping Discrete micro-transactions at the boundary construct macroeconomic structure in the bulk. This attempts to dissolve the 100-year micro vs macro divide.

L4 — Random Matrix Regime In high-complexity phases, the system transitions to random-matrix statistics (crisis, bubbles, phase shifts). Stability becomes a spectral property.

I’m currently working on:

- Formalizing the action functional (so it’s not just metaphor)

- Defining the admissible ensemble boundary for economic RMT

- Building a small simulation engine to test curvature vs liquidity stress

This is still early and probably wrong in 20 different ways. But if the geometry holds, it could provide:

- A unification layer between econ and complex systems physics

- A compression model for macro indicators

- A path toward AI-native economic modeling (neuro-symbolic)

Would love to hear from:

- Theoretical physicists willing to sanity-check the gravity mapping

- Quant folks familiar with RMT edge cases

- Anyone who thinks this is obviously nonsense

Happy to share drafts if there’s interest.