An Isometric Characterization of Inner Product Spaces via the Linearity of Metric Projections

In this paper, we investigate the geometric properties of metric projections in reflexive and strictly convex Banach spaces. We prove that the structural linearity of a metric projection operator PV onto any closed subspace V fundamentally forces the underlying space to be an inner product space. This condition establishes a strict isometry, rather than a mere topological isomorphism, demanding that the norm explicitly satisfies the classical parallelogram law for dimensions dim X ≥ 3. The proof leverages the induced geometry of Birkhoff–James orthogonality coupled with the foundational theorems of Kakutani and James.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-21
DOI
https://doi.org/10.5281/zenodo.20317598
Primary Topic
Optimization and Variational Analysis
Type
preprint
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preprint

An Isometric Characterization of Inner Product Spaces via the Linearity of Metric Projections

Efim Sergeevich Markov
Zenodo (CERN European Organization for Nuclear Research)
Optimization and Variational Analysis
preprint

An Isometric Characterization of Inner Product Spaces via the Linearity of Metric Projections

Efim Sergeevich Markov
preprint en

Abstract

In this paper, we investigate the geometric properties of metric projections in reflexive and strictly convex Banach spaces. We prove that the structural linearity of a metric projection operator PV onto any closed subspace V fundamentally forces the underlying space to be an inner product space. This condition establishes a strict isometry, rather than a mere topological isomorphism, demanding that the norm explicitly satisfies the classical parallelogram law for dimensions dim X ≥ 3. The proof leverages the induced geometry of Birkhoff–James orthogonality coupled with the foundational theorems of Kakutani and James.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Optimization and Variational Analysis
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