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THE PSLQ ALGORITHM FOR EMPIRICAL DATA
Feng, Yong; Chen, Jingwei; Wu, Wenyuan
2019-05-01
摘要The celebrated integer relation finding algorithm PSLQ has been successfully used in many applications. PSLQ was only analyzed theoretically for exact input data, however, when the input data are irrational numbers, they must be approximate ones due to the finite precision of the computer. When the algorithm takes empirical data (inexact data with error bounded) instead of exact real numbers as its input, how do we theoretically ensure the output of the algorithm to be an exact integer relation? In this paper, we investigate the PSLQ algorithm for empirical data as its input. Firstly, we give a termination condition for this case. Secondly, we analyze a perturbation on the hyperplane matrix constructed from the input data and hence disclose a relationship between the accuracy of the input data and the output quality (an upper bound on the absolute value of the inner product of the exact data and the computed integer relation), which naturally leads to an error control strategy for PSLQ. Further, we analyze the complexity bound of the PSLQ algorithm for empirical data. Examples on transcendental numbers and algebraic numbers show the meaningfulness of our error control strategy.
关键词Integer relation PSLQ empirical data
DOI10.1090/mcom/3356
发表期刊MATHEMATICS OF COMPUTATION
ISSN0025-5718
卷号88期号:317页码:1479-1501
收录类别SCI
WOS记录号WOS:000457012400016
语种英语