pith:BQG5WW32
Gr\"unwald--Letnikov Memory Truncation in a Fractional Duffing Oscillator: Coherence Loss and Effective Delay Complexity
Truncating the Grünwald-Letnikov memory in a fractional Duffing oscillator produces effective delay dynamics whose spectral structure sets both coherence loss and delay complexity.
arxiv:2605.03587 v2 · 2026-05-05 · nlin.CD
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Claims
The truncated GL kernel emerges as an intermediate object between distributed fractional memory and delay-type dynamics, with a local spectral structure that controls both coherence loss and effective delay complexity.
That direct trajectory comparisons produce a robust coherence-loss time that reliably identifies critical truncation thresholds independent of numerical artifacts or initial conditions.
Truncating Grünwald-Letnikov memory in fractional Duffing oscillators yields non-monotonic coherence-loss thresholds and an effective delay-complexity measure r_min from positive-delay kernel approximations.
Receipt and verification
| First computed | 2026-05-28T01:05:12.475062Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0c0ddb5b7aee72f2463d46f4ed3bff4f9b7795f061daa2a95df56bdeb6b5fecb
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BQG5WW325ZZPERR5I32O2O77J6 \
| 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())"
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Canonical record JSON
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