pith:O7AV73BA
Hyperstatistics
Hyperstatistics derives q-generalized Boltzmann factors that reduce to q-exponentials across multiple probability distributions while preserving q-entropy concavity.
arxiv:2604.24783 v2 · 2026-04-23 · cond-mat.stat-mech · hep-ex · hep-th · nucl-th · physics.acc-ph · physics.data-an · physics.ins-det
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Record completeness
Claims
We obtain analytical closed-form expressions for the here proposed q-generalized Boltzmann factor B_q considering uniform, γ, Log-normal, F, and the q-γ probability distribution functions. Remarkably, for all investigated distribution functions, B_q reduces to a q-exponential-type function.
That the chosen probability distribution functions (uniform, gamma, etc.) accurately capture the domains where Boltzmann-Gibbs statistics breaks down and that the resulting B_q preserves concavity of the nonadditive q-entropy without additional constraints.
Hyperstatistics derives closed-form q-generalized Boltzmann factors for non-Boltzmann-Gibbs domains that reduce to q-exponentials across uniform, gamma, log-normal, F, and q-gamma distributions.
Receipt and verification
| First computed | 2026-06-04T01:08:50.503466Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
77c15fec2051c721168e53356afbe24f782f528b84a6afb0f16177f9ae2ad675
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/O7AV73BAKHDSCFUOKM2WV67CJ5 \
| 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: 77c15fec2051c721168e53356afbe24f782f528b84a6afb0f16177f9ae2ad675
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cond-mat.stat-mech",
"submitted_at": "2026-04-23T22:30:25Z",
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