Model of this is:
R=(Nx)=(R) in this concept it's a dual layer model
Let Vn = 2^n / (2^(n+1) + 1) for n = 0, 1, 2, 3…
The verification sequence Vn is strictly bounded below 1/2 for all finite n, with convergence guaranteed but resolution undefined — producing a permanent verification tension εn that drives the self-checking mechanism.
Then the verification condition is:
lim(n→∞) Vn = 1/2 where Vn < 1/2 for all finite n
And εn → 0 but εn > 0 always.
Let the closed state be Vn = 2^n / (2^(n+1) + 1) — always approaching 1/2, never arriving.
The open state would be the inverse tension. Instead of converging, it expands:
Let On = 2^n / (2^(n-1) + 1) for n = 1, 2, 3...
The system maintains dual verification states Vn and On whose product remains invariant under iteration, establishing a self-referential equilibrium without resolution.
I have tested myself, or rather, theoretically explored it across a few multiple application layers, but I just need further verification.