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July 31, 20260 citationsOpen Access

Asymptotic-Safety Truncations as Conditional Shadows: Fixed-Point Residuals, Error Bounds, and Scheme Dependence

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PNPeter Nero

Key Points

  • This work aims to establish a framework for validating the implications of finite functional-renormalization-group truncations in the context of fixed points.
  • Introduced a contraction residual to bound the distance to exact fixed points.
  • Applied the framework to Modal Triplet Theory to identify required elements for truncation diagnostics.
  • Developed conditions under which a finite truncation possesses its own fixed point.
  • Showed that a lifted truncation fixed point has a bounded distance from the exact fixed point based on the defect divided by the contraction margin.
  • Demonstrated that Lipschitz inequality alone cannot validate conclusions about fixed points.
  • Identified necessary regulatory and schematic attributes to improve truncation analysis in MTT.

Abstract

Finite functional-renormalization-group truncations can reveal fixed-point structure, but a truncation fixed point is not automatically the shadow of an exact ultraviolet completion. This paper gives a validation framework for that inference. A contraction residual bounds the distance to an exact fixed point when the exact map is already known to be contractive. A finite truncation has its own fixed point only when an independent existence condition, such as invariant contraction or a verified degree argument, is supplied. If a lifted truncation fixed point has a certified defect relative to the exact map, its distance from the exact fixed point is bounded by that defect divided by the contraction margin. An additive-error Lipschitz inequality alone proves none of these conclusions. Applied to Modal Triplet Theory, the framework identifies the missing data: a selected map from coherent variables to FRG couplings, a physical regulator and scheme, and certified truncation defects. The paper therefore supplies a rigorous truncation diagnostic, not a proof that current asymptotic-safety truncations are MTT predictions.

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Cite This Study

Peter Nero (2026) studied this question.

synapsesocial.com/papers/6a6c4748747664a1aa73c662https://doi.org/10.5281/zenodo.21665946
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