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-2026aA 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 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 of the free score.
In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, in dimension , with the real line identified with and as in One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative. Let , with , test functions and their gradient maps and tangent space as fixed there, let be the product measure of with itself, and for let be its derivative and the difference quotient of its derivative, which is integrable with respect to by that clause. The symbol always denotes the free Fisher information, never the cumulative distribution function of Standard Normal Distribution.
1. (Finite free Fisher information)¶ The measure has finite free Fisher information if there is a real number such that
The set of all with finite free Fisher information is denoted .
2. (Free score)¶ Let . The free score of is the unique such that
that is, by One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative §derivatives, for every . 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 : this is linear in by One-Dimensional Test Functions: Scalars, Derivatives, and the Difference Quotient of the Derivative §linear, and for any as in clause 1.
3. (Free Fisher information)¶ For , the free Fisher information of is the nonnegative real number
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