The Informational Shear–Flux Interaction Law describes how the combined energy of
shear variations S(x) and flux fields F(x) decays under
Laplacian-based dissipation. As both fields smooth, their coupling energy decreases
in a strictly monotonic fashion.
As shear and flux dissipate, their interaction energy collapses predictably.
This law appears in informational dynamics, fluid-flow systems, transport physics, and coupled-gradient models.
This simulation uses smooth-decaying shear energy S and flux energy F,
and computes their interaction:
ESF(t) = α ΣS + β ΣF + γ Σ(S·F)
under Laplacian smoothing for both fields.
# Interaction energy (from file)
E = α*np.sum(S) + β*np.sum(F) + γ*np.sum(S*F)
# Evolution:
S ← S - 0.05 ΔS
F ← F - 0.05 ΔF
# Result:
E(t) strictly decreases.
(Source: :contentReference[oaicite:1]{index=1})
S(x) is directional gradient imbalance.F(x) is informational transport intensity.E_SF quantifies combined structural tension.Spectrally:
ESF ∼ Σ (AₖBₖ e^{-αk²t})
High-k shear–flux interactions vanish exponentially under damping.
Shear terms emphasize local asymmetry; flux terms emphasize directional transport. Their coupled dissipation resembles interacting gradient flows.
In fluid membranes, stress–flux coupling decays as the membrane relaxes.
High-frequency interactions collapse before the slower background structure.
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