pith:765MNNZL
Update-Magnitude State Redistribution (UM-SRD): A Shut-off Extension of Weighted SRD for Cut-Cell Methods
UM-SRD blends weighted state redistribution with the identity operator using an update-magnitude indicator to achieve exact steady-state preservation in cut-cell finite-volume methods.
arxiv:2605.04863 v2 · 2026-05-06 · math.NA · cs.NA
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Claims
For a one-dimensional model problem with a single small cut cell, UM-SRD is total variation diminishing under the same CFL condition as the base upwind scheme, the local truncation error modification is higher-order in smooth regions with the unnormalized indicator, and the normalized implementation preserves first-order accuracy; numerical experiments confirm exact steady-state preservation and stabilization of the base scheme near a small cut cell.
The blending indicator is assumed to be smooth and locally defined such that the overall operator remains conservative and the TVD property holds under the base CFL; the paper does not specify how the indicator is constructed in multiple dimensions or when multiple small cells interact.
UM-SRD adds a smooth update-magnitude blending factor to weighted SRD so that redistribution vanishes at exact steady state in small cut cells, preserving the base scheme's properties and enabling exact steady-state preservation.
Receipt and verification
| First computed | 2026-05-26T02:04:12.071581Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ffbac6b72b6df9cb94533945dc4eabc5e07ed0fc5fb880c6e1d91f64ec12f080
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/765MNNZLNX44XFCTHFC5YTVLYX \
| 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: ffbac6b72b6df9cb94533945dc4eabc5e07ed0fc5fb880c6e1d91f64ec12f080
Canonical record JSON
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