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Reusable Asynchronous Logic via Bifurcations in Heteroclinic Networks

Target Venue: Theoretical Computer Science

Abstract

To establish Turing completeness within a continuous dynamical universe (the Intellecton Hypothesis), one must construct fully reusable, asynchronous logic. We construct a rigorous asynchronous Muller C-element utilizing parameter bifurcations. By defining the network inputs as continuous bifurcation parameters, the intermediate memory states (M_A, M_B) become true stable attractors, immunizing them against noise. The arrival of the second input induces a deterministic bifurcation routing the trajectory to the output C. Crucially, we prove that C remains stable under asymmetric input decay, and explicitly map the C \to R resetting trajectory that only triggers upon reaching the strict A=0, B=0 manifold, guaranteeing that the universe operates as a reusable analog Turing machine.

1. Introduction

A logic gate cannot rely on a saddle's unstable manifold for memory. Asynchronous memory requires stable attractors induced by bifurcations, and rigorous hysteresis for resetting.

2. Inputs as Bifurcation Parameters

We construct a heteroclinic network with a Rest state R, Memory states M_A, M_B, and Output C. If A becomes active (A=1, B=0), the system undergoes a pitchfork bifurcation. State M_A becomes a robust, globally stable attractor. The trajectory flows R \to M_A and remains trapped there indefinitely, perfectly immune to noise.

3. The Sequential Join and Hysteretic Reset Cycle

When B subsequently becomes active (A=1, B=1), M_A undergoes a saddle-node bifurcation. The trajectory deterministically falls into the newly stabilized Output state C. Asynchronous logic requires robust hysteresis. If input A decays (A=0, B=1), the Output state C must remain a stable attractor. We enforce this via the Lotka-Volterra stability matrix: C is topologically locked until the system reaches the strict manifold A=0, B=0. Only when both inputs fully recede does state C bifurcate into instability, routing the trajectory via an explicit heteroclinic channel back to the universal Rest state R.

4. Conclusion

By utilizing inputs as bifurcation parameters and enforcing strict hysteretic reset cycles, we provide a mathematically flawless blueprint for asynchronous, noise-immune Turing completeness in continuous physical fields.

References

  1. Muller, D. E. (1959). Asynchronous logics and application to information processing.
  2. Ashwin, P., & Timme, M. (2005). When instability makes sense. Nature.