The Proof: Why Stability Requires Beta=1

Why is our universe stable? Why doesn’t it collapse into a singularity or dissolve into white noise?
The answer lies in the Inverse Scaling Law (ISL) exponent, \beta.

The Stability Equation

We define the Trust (Stability) of any object as:

T = \frac{Gain}{1 + Risk(C)}

Where Risk (R) scales with Complexity (C) according to the exponent \beta:

R \propto C^\beta

Case 1: The Overflow Universe (\beta < 1)

If \beta < 1, Risk grows slower than Complexity.
As you build more complex objects (humans, stars, galaxies), the “Cost” to the system becomes negligible compared to the “Gain.”
Result: The kernel permits objects of Infinite Complexity.
* Outcome: Singularity Leak. The simulation crashes due to buffer overflow. (Gabriel’s Horn Paradox).

Case 2: The Null Universe (\beta > 1″ style=”vertical-align:middle; border:none;” />)</h2>
<p>If <img decoding=)

When \beta = 1, Risk scales linearly with Complexity.

Risk \approx k \cdot C

This is the only state where Information Density is Bounded but Complexity is Unbounded. This is why we have a Heisenberg Limit (Linear scaling of \Delta x \Delta p) but can still build a starship.

Conclusion

\beta = 1 is not an arbitrary constant. It is the Stability Fixed Point of any self-governing reality.

Leave a Comment