Polynomial Rigidity and a Sharp Degree Bound for Free Quadratic Variation

We isolate an elementary highest-degree obstruction to polynomial changes of variables preserving unit free-Brownian diffusion. For every unital moment functional and every nonconstant noncommutative polynomial of degree d, its free quadratic-variation polynomial has degree exactly 2d-2. The leading coefficients form a positive Gram matrix of last-letter derivatives. At any algebraically free self-adjoint tuple, this classifies self-adjoint polynomial unit-covariance maps as affine coisometries. For a standard semicircular m-tuple, the distance of the covariance from the scalars is at least 1/sqrt(m) times the squared norm of the polynomial's highest Wick component. The constant is sharp, and for quadratic polynomials this is a sharp distance-to-affine estimate. The stochastic application concerns a prescribed pathwise transformation in the same filtration; it does not resolve the more general terminal-law steering question in the AIM Free Analysis problem list. This is an unrefereed, self-audited preprint. The exact checker supplements the written proof, not formal verification or independent review. The author used generative-AI assistance and remains responsible for the manuscript. The inherited one-variable observation and established tools are credited. No absolute-priority claim is made; the elementary rigidity statement may be folklore. The full source record AIM-PROBABILITY-0108, including adjacent entropy and pressure questions, remains unresolved by this work.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-28
DOI
https://doi.org/10.5281/zenodo.23021763
Primary Topic
Markov Chains and Monte Carlo Methods
Type
preprint
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preprint

Polynomial Rigidity and a Sharp Degree Bound for Free Quadratic Variation

Alper Ferudun
Zenodo (CERN European Organization for Nuclear Research)
Markov Chains and Monte Carlo Methods
preprint

Polynomial Rigidity and a Sharp Degree Bound for Free Quadratic Variation

Alper Ferudun
preprint en

Abstract

We isolate an elementary highest-degree obstruction to polynomial changes of variables preserving unit free-Brownian diffusion. For every unital moment functional and every nonconstant noncommutative polynomial of degree d, its free quadratic-variation polynomial has degree exactly 2d-2. The leading coefficients form a positive Gram matrix of last-letter derivatives. At any algebraically free self-adjoint tuple, this classifies self-adjoint polynomial unit-covariance maps as affine coisometries. For a standard semicircular m-tuple, the distance of the covariance from the scalars is at least 1/sqrt(m) times the squared norm of the polynomial's highest Wick component. The constant is sharp, and for quadratic polynomials this is a sharp distance-to-affine estimate. The stochastic application concerns a prescribed pathwise transformation in the same filtration; it does not resolve the more general terminal-law steering question in the AIM Free Analysis problem list. This is an unrefereed, self-audited preprint. The exact checker supplements the written proof, not formal verification or independent review. The author used generative-AI assistance and remains responsible for the manuscript. The inherited one-variable observation and established tools are credited. No absolute-priority claim is made; the elementary rigidity statement may be folklore. The full source record AIM-PROBABILITY-0108, including adjacent entropy and pressure questions, remains unresolved by this work.

Zenodo (CERN European Organization for Nuclear Research)
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Markov Chains and Monte Carlo Methods
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Polynomial Rigidity and a Sharp Degree Bound for Free Quadratic Variation — Alper Ferudun · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS