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Carrier Decay Threshold

Abstract

A power-log counting bound gives the strict and endpoint summability thresholds.

Definition 1.1 (The carrier counting function counts members below a cutoff).

Formalization. D5/S3/Analytic/Boundary/CarrierDecayThreshold.carrierCountingFunction (✓ std3).

Source. Repository-derived.

Commentary.

For a set A of natural numbers, the counting function at n is Mathlib’s natural predicate count below n. This fixes the source’s cumulative count on the exact set carrier rather than replacing it by supplied shell data.

Theorem 1.2 (Power-log counting decay gives both convergence regimes).

Proof. Machine-checked in Lean as D5/S3/Analytic/Boundary/CarrierDecayThreshold.carrier_decay_threshold (✓ std3). ∎

Source. Repository-derived.

Commentary.

Let A be a set of natural numbers whose counting function is eventually bounded by C times n to the delta divided by log n to the beta. The series of n to the minus q over A is summable whenever q is strictly larger than delta. At q equal to delta it is summable when beta is strictly larger than one.

The proof partitions A into exact base-two logarithmic fibers. Their cardinalities are bounded by the cumulative counting hypothesis, and every term in a positive-exponent shell is bounded using its lower dyadic endpoint. Above delta, logarithmic powers are absorbed by a smaller exponential gap and the shell bounds form a geometric series. At the endpoint the exponential factors cancel and leave a shifted p-series of exponent beta.

The statement does not assume delta or C is positive. When a negative delta makes the displayed majorant tend to zero, the eventual integer count forces A to be finite. The same argument handles delta zero at the logarithmic endpoint, so no unstated positivity restriction is added.

Repository, pinned-library, and Lean ecosystem searches found no exact owner. The proof directly applies the canonical natural count, exact summable partition, real p-series, logarithm-is-subpower, and geometric-series results. The indicator formulation is the series over the original set A; totalization at zero changes only one finite term.

References

  • Truth anchor: D5/S3/Analytic/Boundary/CarrierDecayThreshold.carrierCountingFunction
  • Truth anchor: D5/S3/Analytic/Boundary/CarrierDecayThreshold.carrier_decay_threshold