TheoremBase

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

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 μ∈P2(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 μ⊠μ∈P(R2)\mu\boxtimes\mu\in\mathcal{P}(\mathbb{R}^{2}) be the product measure of μ\mu with itself, and for ψ∈Cc∞(R)\psi\in C_{c}^{\infty}(\mathbb{R}) let ψ′=∇ψ\psi'=\nabla\psi be its derivative and Fψ:R2→RF_{\psi}:\mathbb{R}^{2}\to\mathbb{R} the difference quotient of its derivative, which is integrable with respect to μ⊠μ\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 C≥0C\ge0 such that

∣∫R2Fψ d(μ⊠μ)∣≤C ∥∇ψ∥μfor every ψ∈Cc∞(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 μ∈P2(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 μ∈P2Φ∗(R)\mu\in\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}). The free score of μ\mu is the unique Ξμ∈Tμ\Xi_{\mu}\in T_{\mu} such that

⟨Ξμ,∇ψ⟩μ=∫R2Fψ d(μ⊠μ)for every ψ∈Cc∞(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 (ii), ∫RΞμ ψ′ dμ=∫R2Fψ d(μ⊠μ)\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 (iv), applied to ℓ(ψ)=∫R2Fψ d(μ⊠μ)\ell(\psi)=\int_{\mathbb{R}^{2}}F_{\psi}\,d(\mu\boxtimes\mu): this ℓ\ell is linear in ψ\psi by One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative (iv), and ∣ℓ(ψ)∣≤C∥∇ψ∥μ|\ell(\psi)|\le C\lVert\nabla\psi\rVert_{\mu} for any CC as in clause 1.

3. (Free Fisher information) For μ∈P2Φ∗(R)\mu\in\mathcal{P}_{2}^{\Phi^{*}}(\mathbb{R}), the free Fisher information of μ\mu is the nonnegative real number

Φ∗(μ)=∥Ξμ∥μ2.\Phi^{*}(\mu)=\lVert\Xi_{\mu}\rVert_{\mu}^{2}.

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