pith:P2NGOCM7
$L^{\alpha-1}$ distance between two one-dimensional stochastic differential equations with drift terms driven by a symmetric $\alpha$-stable process
The L^{α-1} distance between solutions of one-dimensional α-stable SDEs with drifts satisfies a Hölder-type bound controlled by initial differences and a weighted coefficient norm.
arxiv:2510.25151 v3 · 2025-10-29 · math.PR
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Record completeness
Claims
The main result is a Hölder-type estimate for the L^{α-1}(Ω) distance between two solution paths, which quantifies the stability with respect to the initial values and coefficients.
The transition probability density of the baseline solution exists and can be used to construct a weighted integral norm that effectively localizes the error analysis for time-dependent coefficient perturbations.
Establishes Hölder estimates for the L^{α-1} distance between solutions of 1D SDEs with symmetric α-stable drivers and drifts, via a weighted norm on coefficient perturbations and mollified auxiliary functions.
Receipt and verification
| First computed | 2026-06-02T03:04:35.363903Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
7e9a67099f99dfa1bcf2fa10cc1499ec25eefa31d71f271cb3d01e0d8eb3bdf3
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/P2NGOCM7THP2DPHS7IIMYFEZ5Q \
| 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: 7e9a67099f99dfa1bcf2fa10cc1499ec25eefa31d71f271cb3d01e0d8eb3bdf3
Canonical record JSON
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