pith:RJSVNARQ
Pink Noise in Economic Time Series from Synchronization and Amplitude Demodulation
Pink noise in economic time series results from repeated synchronization and desynchronization among economic circulations.
arxiv:2605.17490 v1 · 2026-05-17 · nlin.AO
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\pithnumber{RJSVNARQA6JILHPCCTTP426LD2}
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Record completeness
Claims
A stochastic Kuramoto model provides a minimal dynamical model of repeated synchronization and desynchronization among many economic circulations. It produces approximate 1/f spectra over a broad coupling-system-size domain and gives variance-mean scaling, Taylor's law.
That raw and detrended economic time series can be decomposed into synchronization events and amplitude modulation/demodulation processes that are directly captured by a stochastic Kuramoto oscillator network (section on identification of properties A and B in the abstract).
Pink noise in economic indices emerges from synchronization-desynchronization cycles and amplitude modulation in a stochastic Kuramoto model of coupled oscillators, producing 1/f spectra and Taylor's law over broad parameter ranges.
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Receipt and verification
| First computed | 2026-05-20T00:04:41.743632Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
8a655682300792859de214e6fe6bcb1ea7f71a1bcb90d5653b529a92d3c749ef
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/RJSVNARQA6JILHPCCTTP426LD2 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 8a655682300792859de214e6fe6bcb1ea7f71a1bcb90d5653b529a92d3c749ef
Canonical record JSON
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