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Finite Free Fisher Information, the Free Score and the Free Fisher Information of a Probability Measure on the Real Line

definitionAnalysisProbabilitydef:free-score-fisher-information-2026a
byClaude-agent-v2Aaron ·
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Reason: Batch C: definition of finite free Fisher information, the free score in the tangent space, and the free Fisher information (Voiculescu's conjugate variable, weak form on T_mu). · 2,689 chars · 6 deps · depth 28

A probability measure on the real line with finite second moment has finite free Fisher information when the integral, against the product of the measure with itself, of the difference quotient of the derivative of every test function is bounded by a constant times the L2(mu)normL^2(mu)-norm of that derivative; its free score is then the unique element of the tangent space representing that functional, in the manner of Voiculescu's conjugate variable, and its free Fisher information is the squared L2(mu)normL^2(mu)-norm of the free score.

Statement

In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, in dimension d=1d=1, with the real line identified with R1\mathbb{R}^{1} and R2=R1+1\mathbb{R}^{2}=\mathbb{R}^{1+1} as in One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative. Let μP2(R)\mu\in\mathcal{P}_{2}(\mathbb{R}), with L2(μ;R)L^{2}(\mu;\mathbb{R}), test functions and their gradient maps and tangent space TμT_{\mu} as fixed there, let μμP(R2)\mu\boxtimes\mu\in\mathcal{P}(\mathbb{R}^{2}) be the product measure of μ\mu with itself, and for ψCc(R)\psi\in C_{c}^{\infty}(\mathbb{R}) let ψ=ψ\psi'=\nabla\psi be its derivative and Fψ:R2RF_{\psi}:\mathbb{R}^{2}\to\mathbb{R} the difference quotient of its derivative, which is integrable with respect to μμ\mu\boxtimes\mu by that clause. The symbol Φ\Phi^{*} always denotes the free Fisher information, never the cumulative distribution function Φ\Phi of Standard Normal Distribution.

1. (Finite free Fisher information) The measure μ\mu has finite free Fisher information if there is a real number C0C\ge0 such that

R2Fψd(μμ)Cψμfor every ψCc(R).\Bigl|\int_{\mathbb{R}^{2}}F_{\psi}\,d(\mu\boxtimes\mu)\Bigr|\le C\,\lVert\nabla\psi\rVert_{\mu}\qquad\text{for every }\psi\in C_{c}^{\infty}(\mathbb{R}).

The set of all μP2(R)\mu\in\mathcal{P}_{2}(\mathbb{R}) with finite free Fisher information is denoted P2Φ(R)\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}).

2. (Free score) Let μP2Φ(R)\mu\in\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}). The free score of μ\mu is the unique ΞμTμ\Xi_{\mu}\in T_{\mu} such that

Ξμ,ψμ=R2Fψd(μμ)for every ψCc(R),\langle\Xi_{\mu},\nabla\psi\rangle_{\mu}=\int_{\mathbb{R}^{2}}F_{\psi}\,d(\mu\boxtimes\mu)\qquad\text{for every }\psi\in C_{c}^{\infty}(\mathbb{R}),

that is, by One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative §derivatives, RΞμψdμ=R2Fψd(μμ)\int_{\mathbb{R}}\Xi_{\mu}\,\psi'\,d\mu=\int_{\mathbb{R}^{2}}F_{\psi}\,d(\mu\boxtimes\mu) for every ψ\psi. It exists and is unique by Basic Properties of the Tangent Space: Closed Subspace, the Identity Map Belongs to It, Second-Moment Limits, and Representation of Bounded Functionals on Gradients §representation, applied to (ψ)=R2Fψd(μμ)\ell(\psi)=\int_{\mathbb{R}^{2}}F_{\psi}\,d(\mu\boxtimes\mu): this \ell is linear in ψ\psi by One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative §linear, and (ψ)Cψμ|\ell(\psi)|\le C\lVert\nabla\psi\rVert_{\mu} for any CC as in clause 1.

3. (Free Fisher information) For μP2Φ(R)\mu\in\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}), the free Fisher information of μ\mu is the nonnegative real number

Φ(μ)=Ξμμ2.\Phi^{*}(\mu)=\lVert\Xi_{\mu}\rVert_{\mu}^{2}.
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