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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Species Count in Discrete, Continuous, and Infinite-Dimensional Composition Models

Authors: Tatsuya, Nakano;

Species Count in Discrete, Continuous, and Infinite-Dimensional Composition Models

Abstract

This work develops a unified theory of species count across three levels of composition models: (1) discrete stars-and-bars compositions, (2) continuous Dirichlet compositions, and (3) infinite-dimensional Poisson–Dirichlet compositions. We derive exact formulas for the discrete species count, introduce a natural threshold-based definition for the continuous case, and obtain the classical \(\theta \log(1/\varepsilon)\) law for the Poisson–Dirichlet distribution. Together, these results reveal a single structural mechanism underlying species accumulation phenomena in finite and infinite-dimensional composition structures.

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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
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