Research · Per Ardua

Contraction Dynamics: Constraint Typing, Compositional Well-Formedness, and Gaussian Fixed-Point Convergence

Pure mathematics of constraint-shaped convergence

OT-7 Organizational Theory DOI

Executive Summary

This paper studies how the distribution of acceptable outputs evolves in a system where agents produce outputs, constraint functions score them, and lifecycle operations (fork, decay, merge) inject and remove variance. Three formal questions organize it: when constraints can be composed without circular dependencies, when composition preserves well-formedness, and when the acceptability distribution converges to a unique fixed point, and how fast.

The central result is for the Gaussian case. Under Gaussian scoring with lifecycle variance injection, the Q-dynamics operator is proved to be a global contraction with a unique, globally attracting fixed point Q* and contraction parameter λ* = σκ² / (σ*² + σκ²), where σκ² is the scoring-function variance and σ*² is the fixed-point variance. The parameter is derived from first principles, not assumed; sharper scoring gives faster contraction.

Key Contributions and Methodology

First, a constraint type system with four primitives (schema, threshold, scoring, topological), a dependency graph, and sequential, parallel, and conditional composition. Type compatibility is decidable in polynomial time, and composition preserves types.

Second, compositional well-formedness: composing two well-formed constraint architectures yields a well-formed architecture under type compatibility and energy separability.

Third, a multi-dimensional extension. Mean contraction holds in d dimensions; covariance contraction is proved when the covariance and precision matrices commute, and is locally stable in general.

Fourth, a cage characterization. The cage, the attractor under convergent selection, is the limit Q* → pF (the system's own prior) as scoring sharpens. A generative-preservation theorem gives conditions on selection balance under which the fixed point keeps generative capacity: generative capacity requires nonzero selection balance.

Key Findings

  • Gaussian contraction theorem: unique fixed point Q* with explicit contraction parameter λ* = σκ² / (σ*² + σκ²)
  • Constraint type system: four primitive types; type compatibility decidable in polynomial time; type preservation under composition
  • Compositional well-formedness: well-formed architectures compose into well-formed architectures
  • Cage as attractor: convergent selection drives the acceptability distribution toward the system's prior
  • Generative preservation: nonzero selection balance is required to retain generative capacity
  • Open problems: log-concave and sub-Gaussian extensions, non-commuting covariance contraction for d > 1, general scoring functions, and mixture contraction, each stated with a conjecture and bridging strategy

Key References

Banach, S. (1922)

Sur les opérations dans les ensembles abstraits et leur application aux équations intégrales. Fundamenta Mathematicae, 3.

Bakry, D., & Émery, M. (1985)

Diffusions hypercontractives. Séminaire de Probabilités XIX, Lecture Notes in Mathematics 1123. Springer.

Otto, F., & Villani, C. (2000)

Generalization of an inequality by Talagrand and links with the logarithmic Sobolev inequality. Journal of Functional Analysis, 173(2), 361-400.

Lemmens, B., & Nussbaum, R. (2012)

Nonlinear Perron-Frobenius Theory. Cambridge University Press.

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