Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance

This paper deals with the reconstruction of a discrete measure <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:math> on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>ℝ</mml:mi> <mml:mi>d</mml:mi> </mml:msup> </mml:math> from the knowledge of its pushforward measures <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>P</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>#</mml:mo> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:mrow> </mml:math> by linear applications <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>P</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>:</mml:mo> <mml:msup> <mml:mi>ℝ</mml:mi> <mml:mi>d</mml:mi> </mml:msup> <mml:mo>→</mml:mo> <mml:msup> <mml:mi>ℝ</mml:mi> <mml:msub> <mml:mi>d</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:msup> </mml:mrow> </mml:math> (for instance projections onto subspaces). The measure <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:math> being fixed, assuming that the rows of the matrices <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>P</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:math> are independent realizations of laws which do not give mass to hyperplanes, we show that if <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mo>∑</mml:mo> <mml:mi>i</mml:mi> </mml:msub> <mml:msub> <mml:mi>d</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:mi>d</mml:mi> </mml:mrow> </mml:math> , this reconstruction problem has almost certainly a unique solution. This holds for any number of points in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:math> . A direct consequence of this result is an almost-sure separability property on the empirical Sliced Wasserstein distance.

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Journal
Comptes Rendus Mathématique
Published
2024-11-05
DOI
https://doi.org/10.5802/crmath.601
Primary Topic
Topological and Geometric Data Analysis
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article
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article

Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance

Julie Delon, Rémi Flamary, Eloi Tanguy
Comptes Rendus Mathématique
Topological and Geometric Data Analysis
article

Reconstructing discrete measures from projections. Consequences on the empirical Sliced Wasserstein Distance

Julie Delon, Rémi Flamary, Eloi Tanguy
article en

Abstract

This paper deals with the reconstruction of a discrete measure <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:math> on <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msup> <mml:mi>ℝ</mml:mi> <mml:mi>d</mml:mi> </mml:msup> </mml:math> from the knowledge of its pushforward measures <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>P</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>#</mml:mo> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:mrow> </mml:math> by linear applications <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mi>P</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>:</mml:mo> <mml:msup> <mml:mi>ℝ</mml:mi> <mml:mi>d</mml:mi> </mml:msup> <mml:mo>→</mml:mo> <mml:msup> <mml:mi>ℝ</mml:mi> <mml:msub> <mml:mi>d</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:msup> </mml:mrow> </mml:math> (for instance projections onto subspaces). The measure <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:math> being fixed, assuming that the rows of the matrices <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>P</mml:mi> <mml:mi>i</mml:mi> </mml:msub> </mml:math> are independent realizations of laws which do not give mass to hyperplanes, we show that if <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msub> <mml:mo>∑</mml:mo> <mml:mi>i</mml:mi> </mml:msub> <mml:msub> <mml:mi>d</mml:mi> <mml:mi>i</mml:mi> </mml:msub> <mml:mo>&gt;</mml:mo> <mml:mi>d</mml:mi> </mml:mrow> </mml:math> , this reconstruction problem has almost certainly a unique solution. This holds for any number of points in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>γ</mml:mi> <mml:mi>Z</mml:mi> </mml:msub> </mml:math> . A direct consequence of this result is an almost-sure separability property on the empirical Sliced Wasserstein distance.

Comptes Rendus MathématiqueVol. 362(G10)
École Polytechnique (FR), Université Paris Cité (FR), Département mathématiques, informatique, sciences de la donnée et technologies du numérique (FR), Centre de Mathématiques Appliquées de l'École polytechnique (FR), Mathématiques Appliquées à Paris 5 (FR)
Reduced inequalities
Openalex Percentile: Top 99%
Topological and Geometric Data Analysis
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