A stochastic embedding theorem recovers fundamental constants like k_B, ħ, and c from time series data and supports a superspace diffusion equation dg_ij = D_ij[g] dτ + ℓ_P dW_ij for gravity.
Lorenz,Deterministic nonperiodic flow, Journal of the Atmospheric Sciences20(2) (1963) 130–141
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From the Stochastic Embedding Sufficiency Theorem to a Superspace Diffusion Framework
A stochastic embedding theorem recovers fundamental constants like k_B, ħ, and c from time series data and supports a superspace diffusion equation dg_ij = D_ij[g] dτ + ℓ_P dW_ij for gravity.