pith:MPLQWPYX
Distinguishing finite metric spaces via similarity spectra
The q-spectrum from similarity matrices distinguishes all finite metric spaces on at most four points and a large class of larger ones.
arxiv:2502.08980 v6 · 2025-02-13 · math.MG
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\usepackage{pith}
\pithnumber{MPLQWPYXA76SM64RW6B2DLACKL}
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Record completeness
Claims
The q-spectrum completely distinguishes a large class of finite metric spaces and all metric spaces on at most 4 points. The transition q-spectrum distinguishes spaces for which the multiset of pairwise distances is independent over the rational numbers, along with all spaces on at most 3 points.
The similarity matrices are constructed so that their spectra encode enough metric information to separate the claimed classes; the paper invokes this construction without an independent verification that the matrix definition is the minimal or canonical choice that preserves distinction power.
Introduces q-spectrum and transition q-spectrum invariants for finite metric spaces that recover graph spectra in a limit and distinguish all spaces with at most 4 and 3 points respectively under stated conditions.
Receipt and verification
| First computed | 2026-06-02T01:03:30.516901Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
63d70b3f1707fd267b91b783a1ac0252fcdc263976e59587dd8ce2afe0df7381
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MPLQWPYXA76SM64RW6B2DLACKL \
| 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: 63d70b3f1707fd267b91b783a1ac0252fcdc263976e59587dd8ce2afe0df7381
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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"submitted_at": "2025-02-13T05:33:41Z",
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