Empirical confirmation of bosonic wealth statistics in Bitcoin UTXOs

Fuente: arXiv
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Main Authors: Park, Chanhee, Tessone, Claudio J., Zhang, Yu, Park, Jeong-Hyuck
Format: Preprint
Published: 2026
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author Park, Chanhee
Tessone, Claudio J.
Zhang, Yu
Park, Jeong-Hyuck
author_facet Park, Chanhee
Tessone, Claudio J.
Zhang, Yu
Park, Jeong-Hyuck
contents Digitalisation transforms money from distinguishable physical objects into fungible informational units. A recent theoretical framework predicts that such indistinguishable wealth obeys bosonic occupancy statistics, leading to geometric ownership distributions and enhanced inequality. Using Bitcoin blockchain data, we test this prediction on 63 UTXO denominations across 72 monthly snapshots (2018--2023). A one-parameter geometric model describes the ownership distributions, reproducing both mean holdings and their temporal evolution; Jensen--Shannon divergence values lie below $0.08$ in $99.74\%$ of cases. The inferred inverse-temperature parameter satisfies the analytic mean--temperature relation to better than $0.1\%$ in every sample -- a self-consistency test that two-parameter alternatives cannot pass -- and remains within a narrow band across eight orders of magnitude in denomination and over six years. Bitcoin UTXO ownership statistics are therefore consistent with bosonic occupancy laws, suggesting that the informational nature of electronic money may act as a structural driver of inequality in digital economies.
format Preprint
id arxiv_https___arxiv_org_abs_2605_12853
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Empirical confirmation of bosonic wealth statistics in Bitcoin UTXOs
Park, Chanhee
Tessone, Claudio J.
Zhang, Yu
Park, Jeong-Hyuck
Physics and Society
Statistical Mechanics
Digitalisation transforms money from distinguishable physical objects into fungible informational units. A recent theoretical framework predicts that such indistinguishable wealth obeys bosonic occupancy statistics, leading to geometric ownership distributions and enhanced inequality. Using Bitcoin blockchain data, we test this prediction on 63 UTXO denominations across 72 monthly snapshots (2018--2023). A one-parameter geometric model describes the ownership distributions, reproducing both mean holdings and their temporal evolution; Jensen--Shannon divergence values lie below $0.08$ in $99.74\%$ of cases. The inferred inverse-temperature parameter satisfies the analytic mean--temperature relation to better than $0.1\%$ in every sample -- a self-consistency test that two-parameter alternatives cannot pass -- and remains within a narrow band across eight orders of magnitude in denomination and over six years. Bitcoin UTXO ownership statistics are therefore consistent with bosonic occupancy laws, suggesting that the informational nature of electronic money may act as a structural driver of inequality in digital economies.
title Empirical confirmation of bosonic wealth statistics in Bitcoin UTXOs
topic Physics and Society
Statistical Mechanics
url https://arxiv.org/abs/2605.12853