A Probabilistic Generalization of the Mazur-Ulam Theorem

Fuente: arXiv
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Main Authors: Zaliaduonis, Justinas, Gatidis, Sergios
Format: Preprint
Published: 2026
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author Zaliaduonis, Justinas
Gatidis, Sergios
author_facet Zaliaduonis, Justinas
Gatidis, Sergios
contents The classical Mazur-Ulam theorem establishes that every surjective isometry between normed real vector spaces is an affine transformation. In various applied mathematical settings, however, one encounters maps that preserve distances not pointwise, but almost everywhere with respect to a probability measure. This paper provides a rigorous generalization of the Mazur-Ulam theorem to probability spaces. We prove that if a measurable map on a subset of Rd preserves distances almost everywhere with respect to a measure with full-dimensional support, it coincides almost everywhere with a global Euclidean isometry, defined as an orthogonal transformation followed by a translation.
format Preprint
id arxiv_https___arxiv_org_abs_2601_03900
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle A Probabilistic Generalization of the Mazur-Ulam Theorem
Zaliaduonis, Justinas
Gatidis, Sergios
Probability
Functional Analysis
The classical Mazur-Ulam theorem establishes that every surjective isometry between normed real vector spaces is an affine transformation. In various applied mathematical settings, however, one encounters maps that preserve distances not pointwise, but almost everywhere with respect to a probability measure. This paper provides a rigorous generalization of the Mazur-Ulam theorem to probability spaces. We prove that if a measurable map on a subset of Rd preserves distances almost everywhere with respect to a measure with full-dimensional support, it coincides almost everywhere with a global Euclidean isometry, defined as an orthogonal transformation followed by a translation.
title A Probabilistic Generalization of the Mazur-Ulam Theorem
topic Probability
Functional Analysis
url https://arxiv.org/abs/2601.03900