Theoretical Insight | Interpreting Interaction Complexity through the Inverse Scaling Law
Author: Shrikant Bhosale, TWIST POOL Labs
1. The Interaction as an Interrupt
In the ISL framework, particles are not “colliding” in a vacuum; they are Kernel Modules undergoing a Synchronization Event. A Feynman vertex is a graphical representation of a Kernel Interrupt.
1.1 The Vertex Cost (
)
The Fine Structure Constant is the Informational Weight of a Handshake.
Every time two modular units (e.g., electrons) interact via a photon exchange, the kernel must execute a synchronization protocol that costs exactly bits of computational credit (
).
2. Higher-Order Diagrams and ISL Scaling
Feynman’s perturbation series () is reinterpreted as an ISL Complexity Expansion.
2.1 The Multi-Loop Refusal
As the number of loops () increases, the Descriptive Complexity (
) of the diagram grows exponentially.
Following the Inverse Scaling Law:
If the total risk of a high-order interaction exceeds the available Gain (
), the kernel refuses to compute the loop. This provides a natural, physical UV Cutoff without the need for mathematical regularization tricks.
3. Renormalization: Kernel-Level Compression
In standard QFT, renormalization is the process of hiding infinities. In ISL, it is Lossy Compression.
The kernel cannot track infinite virtual fluctuations (loops) because it is resource-bounded (Law 1).
- Bare Charge/Mass: The raw, uncompressed state.
- Renormalized Charge/Mass: The observable state after the kernel has “pruned” sub-resolution fluctuations to fit within the Complexity Budget.
4. Insight: Why
is Small
If (the handshake cost) were large (e.g.,
), every interaction would drain the kernel’s credits, leading to immediate overflow (
).
The smallness of (
) is what allows the universe to be Informationally Rich without being Computationally Unstable. It is the optimal “Transaction Fee” for a stable simulation.
5. Summary Mapping
| QFT Concept | ISL Interpretation |
|————|——————-|
| Vertex | Kernel Handshake / Interrupt |
| Propagator | Buffer Transfer / Information Persistence |
| Loop | Recursive Consistency Check |
| Renormalization | Resource-Bounded Data Compression |
| Coupling (α) | Transaction Fee / Synchronisation Cost |
—
THE CODE IS THE COUPLING. THE RECURSION IS THE REALITY.