pith:CZ23SYPM
Computational aspects of the Volterra Signature
The Volterra signature with matrix-valued kernels admits efficient computation via quadratic approximation, FFT acceleration, and low-dimensional recursion.
arxiv:2605.18406 v1 · 2026-05-18 · math.NA · cs.NA · stat.ML
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\pithnumber{CZ23SYPMDOMUYAWR4234FWTMFC}
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Record completeness
Claims
The paper provides a general approximative scheme with quadratic complexity O(J^2), an FFT-based acceleration with O(J log J) for convolution kernels on uniform grids, and an exact recursion with O(J R^2) for kernels admitting a state-space representation of dimension R, while retaining standard signature complexity in path dimension and truncation level N.
The decomposition of the Chen-type convolution relation into analytic and arithmetic parts (referenced from arXiv:2603.04525) can be performed without introducing errors that propagate into the final signature components for general matrix-valued kernels.
Algorithms for Volterra signature computation achieve O(J^2), O(J log J) via FFT, and O(J R^2) via recursion, plus a predictor-corrector scheme, all implemented in a public JAX package.
References
Formal links
Receipt and verification
| First computed | 2026-05-20T00:05:59.133433Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
1675b961ec1b994c02d1e6b7c2da6c28b4145eaafb51a27db9aacff25615c7db
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CZ23SYPMDOMUYAWR4234FWTMFC \
| 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: 1675b961ec1b994c02d1e6b7c2da6c28b4145eaafb51a27db9aacff25615c7db
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
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"submitted_at": "2026-05-18T13:46:47Z",
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