Rank and Symmetries of Signature Tensors

Abstract. The signature of a path is a sequence of tensors which allows for the unique reconstruction of a path. In this paper, we propose a systematic study of basic properties of signature tensors starting from their rank, symmetries, and conciseness. We prove a sharp upper bound on the rank of signature tensors of piecewise linear paths. We show that there are no skew-symmetric signature tensors of order three or more and prove that specific instances of partial symmetry can only happen for tensors of order three. Finally, we give a simple geometric characterization of paths whose signature tensors are not concise.

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Publication Details

Journal
SIAM Journal on Applied Algebra and Geometry
Published
2026-10-29
DOI
https://doi.org/10.1137/24m1690291
Primary Topic
Tensor decomposition and applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Rank and Symmetries of Signature Tensors

Francesco Galuppi, Pierpaola Santarsiero
1 links
SIAM Journal on Applied Algebra and Geometry
Tensor decomposition and applications
article

Rank and Symmetries of Signature Tensors

Francesco Galuppi, Pierpaola Santarsiero
article en

Abstract

Abstract. The signature of a path is a sequence of tensors which allows for the unique reconstruction of a path. In this paper, we propose a systematic study of basic properties of signature tensors starting from their rank, symmetries, and conciseness. We prove a sharp upper bound on the rank of signature tensors of piecewise linear paths. We show that there are no skew-symmetric signature tensors of order three or more and prove that specific instances of partial symmetry can only happen for tensors of order three. Finally, we give a simple geometric characterization of paths whose signature tensors are not concise.

SIAM Journal on Applied Algebra and GeometryVol. 10(4)
University of Warsaw (PL)
Deutsche Forschungsgemeinschaft, Narodowe Centrum Nauki, Università di Bologna, Uniwersytet Warszawski
Openalex Percentile: Top 98%
Tensor decomposition and applications
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