pith:SPET7RZF
Randomized Atomic Feature Models for Physics-Informed Identification of Dynamic Systems
Impulse responses are recovered as random superpositions of damped exponentials from poles sampled inside a disk using convex optimization with physical constraints.
arxiv:2605.14351 v1 · 2026-05-14 · eess.SY · cs.LG · cs.SY
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\pithnumber{SPET7RZFYQVAQQMFLJ42AMRW2C}
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Record completeness
Claims
The main analytic point is an operator-theoretic Disk-Bochner viewpoint: positive measures over stable poles generate positive-definite kernels with a radius-dependent shift defect, while a converse scalar disk moment representation for an arbitrary kernel is characterized by subnormality of the canonical shift.
That random sampling of poles inside a prescribed disk produces a sufficiently rich and stable atomic dictionary whose finite realizations satisfy the restricted-eigenvalue properties needed for the stated sparse-recovery guarantees.
Impulse responses are cast as random atomic superpositions of stable poles inside a disk and recovered through constrained convex optimization that encodes engineering priors.
References
Receipt and verification
| First computed | 2026-05-17T23:39:08.057595Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
93c93fc725c42a0841855a79a03236d09ca0210249102a6a4f49594b39197a74
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SPET7RZFYQVAQQMFLJ42AMRW2C \
| 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: 93c93fc725c42a0841855a79a03236d09ca0210249102a6a4f49594b39197a74
Canonical record JSON
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