Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
ZENODO
Other literature type . 2026
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

Complete Monotonicity and Benford's Law: Deriving Quantum Statistics from the Significant Digit Distribution

Authors: Christopher Riner, Christopher Jack Wayne Riner;

Complete Monotonicity and Benford's Law: Deriving Quantum Statistics from the Significant Digit Distribution

Abstract

We show that the Bose-Einstein distribution is the unique quantum statistical distribution satisfyingBenford’s law exactly at all temperatures, and that this result follows from a chain of establishedmathematical theorems connecting complete monotonicity, the Bernstein-Widder representation, and theBenford conformance of Laplace transforms. Specifically, requiring that a quantum occupation functionsatisfy the significant digit law P(d) = log₁₀(1 + 1/d) at all parameter values forces its series expansion tohave exclusively non-negative coefficients — selecting 1/(e^x − 1) over 1/(e^x + 1). The Fermi-Diracdistribution, whose alternating-sign expansion violates complete monotonicity, produces calculableperiodic deviations from Benford’s law: oscillations with period exactly 1 in log₁₀(T), amplitude governedby the Dirichlet eta function (1 − 2^(1−s))·ζ(s) with |η| = 1.054 times the single-exponential baseline. Weidentify this Dirichlet factor as the mathematical signature of the Pauli exclusion principle and derive astructural consequence: no fermion can have zero Benford deviation, implying that massless fermionscannot exist — consistent with the experimental discovery of nonzero neutrino mass. These results holdindependently of any particular interpretive framework.

Keywords

significant digit law, Laplace transform, Bose-Einstein distribution, Bernstein-Widder theorem, Mathematical physics, Quantum physics, quantum statistics, Pauli exclusion, complete monotonicity, Fermi-Dirac distribution, Benford's law, Statistical mechanics, Dirichlet eta function

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!