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Autori principali: Wan, Yang, Grossman-Ponemona, Benjamin E., Kesari, Haneesh
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2504.11590
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author Wan, Yang
Grossman-Ponemona, Benjamin E.
Kesari, Haneesh
author_facet Wan, Yang
Grossman-Ponemona, Benjamin E.
Kesari, Haneesh
contents In this paper we study the problem of finding the best approximation of a real square matrix by a matrix that can be represented as the square of a real, skew-symmetric matrix. This problem is important in the design of robust numerical algorithms aimed at estimating rigid body kinematics from multiple accelerometer measurements. We give a constructive proof for the existence of a best approximant in the Frobenius norm. We demonstrate the construction with some small examples, and we showcase the practical importance of this work to the problem of determining the angular velocity of a rotating rigid body from its acceleration measurements.
format Preprint
id arxiv_https___arxiv_org_abs_2504_11590
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Approximating a matrix as the square of a skew-symmetric matrix, with application to estimating angular velocity from acceleration data
Wan, Yang
Grossman-Ponemona, Benjamin E.
Kesari, Haneesh
Optimization and Control
Mathematical Physics
In this paper we study the problem of finding the best approximation of a real square matrix by a matrix that can be represented as the square of a real, skew-symmetric matrix. This problem is important in the design of robust numerical algorithms aimed at estimating rigid body kinematics from multiple accelerometer measurements. We give a constructive proof for the existence of a best approximant in the Frobenius norm. We demonstrate the construction with some small examples, and we showcase the practical importance of this work to the problem of determining the angular velocity of a rotating rigid body from its acceleration measurements.
title Approximating a matrix as the square of a skew-symmetric matrix, with application to estimating angular velocity from acceleration data
topic Optimization and Control
Mathematical Physics
url https://arxiv.org/abs/2504.11590