Abstract
How can we describe relative approximation error? When the value b approximate a value a, the usual description of this error is the ratio \(|b-a|/|a|\). The problem with this approach is that, contrary to our intuition, we get different numbers gauging how well a approximates b and how well b approximates a. To avoid this problem, John Gustafson proposed to use the logarithmic measure \(|\ln (b/a)|\). In this paper, we show that this is, in effect, the only regular scale-invariant way to describe the relative approximation error.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
J. Aczél, J. Dhombres, Functional Equations in Several Variables (Cambridge University Press, 2008)
J. Gustafson, Posting on Reliable Computing Mailing List, 17 Feb. 2022
S.G. Rabinovich, Measurement Errors and Uncertainties: Theory and Practice (Springer, New York, 2005)
Acknowledgements
This work was supported by:
\(\bullet \) the National Science Foundation grants 1623190 (A Model of Change for Preparing a New Generation for Professional Practice in Computer Science), and HRD-1834620 and HRD-2034030 (CAHSI Includes),
\(\bullet \) the AT&T Fellowship in Information Technology,
\(\bullet \) the program of the development of the Scientific-Educational Mathematical Center of Volga Federal District No. 075-02-2020-1478, and
\(\bullet \) grant from the Hungarian National Research, Development and Innovation Office (NRDI).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Ceberio, M., Kosheleva, O., Kreinovich, V. (2023). How to Describe Relative Approximation Error? A New Justification for Gustafson’s Logarithmic Expression. In: Ceberio, M., Kreinovich, V. (eds) Uncertainty, Constraints, and Decision Making. Studies in Systems, Decision and Control, vol 484. Springer, Cham. https://doi.org/10.1007/978-3-031-36394-8_52
Download citation
DOI: https://doi.org/10.1007/978-3-031-36394-8_52
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-36393-1
Online ISBN: 978-3-031-36394-8
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)