pith:B6V3D5GU
A Global Characterization of $f$-Divergences Yielding PSD Mutual-Information Matrices
Mutual-information matrices from f-divergences are positive semidefinite for all finite alphabets precisely when the normalized generator expands as a power series with nonnegative coefficients that converges on all positive reals.
arxiv:2601.08929 v3 · 2026-01-13 · cs.IT · math.IT
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Record completeness
Claims
The matrix M^{(f)}_{ij}:=I_f(X_i;X_j) is PSD for every finite-alphabet family if and only if the normalized representative has a globally convergent expansion bar f(t)=sum_{m>=2} a_m (t-1)^m, with a_m >=0, on all of (0,infty).
That the local positivity condition at t=1, extracted via biased three-point kernels and the BGKP theorem, extends to global analyticity and holds for all finite alphabets without additional restrictions on the divergence.
Pairwise f-mutual information matrices are positive semi-definite for all finite-alphabet distributions exactly when the f generator has a power series with all nonnegative coefficients that converges on the positive reals.
References
Formal links
Receipt and verification
| First computed | 2026-05-17T23:39:00.248211Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
0fabb1f4d497045dcd4dda48c5845f163e99b9d05254cc2b05e35a70e436fc8f
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/B6V3D5GUS4CF3TKN3JEMLBC7CY \
| 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: 0fabb1f4d497045dcd4dda48c5845f163e99b9d05254cc2b05e35a70e436fc8f
Canonical record JSON
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