pith:466Q2EYF
Revealing dynamics of non-autonomous complex systems from data
A data-driven method discovers governing equations for non-autonomous systems by selecting optimal basis functions from a library.
arxiv:2605.13878 v1 · 2026-05-10 · nlin.CD · math.DS · physics.data-an
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Claims
Our method demonstrates effectiveness in equation discovery on canonical synthetic systems such as cusp bifurcation and coupled Kuramoto oscillators. Furthermore, we extend the application of this approach to leaf cellular energy, unmanned aerial vehicle navigation, chick-heart aggregates, and marine fish community under simple basis function libraries.
The true non-autonomous dynamics can be accurately represented by a sparse linear combination of functions drawn from a user-supplied basis library, and that an optimal subset can be identified under simplified prior specifications.
A data-driven framework discovers non-autonomous dynamical equations from data via optimal basis function selection, shown effective on synthetic systems and applied to biological and engineering examples.
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| First computed | 2026-05-17T23:39:19.221569Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
e7bd0d13052f0997dd274968917b4b37bc41cbb6bcf71f235bd994db71068315
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/466Q2EYFF4EZPXJHJFUJC62LG6 \
| 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: e7bd0d13052f0997dd274968917b4b37bc41cbb6bcf71f235bd994db71068315
Canonical record JSON
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