Generalized Orthogonalization (of which the Gram–Schmidt process is merely a minor consequence)

Published: 17 December 2025| Version 1 | DOI: 10.17632/gygn5pk6t2.1
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Văn Tuấn Trần

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This paper establishes a generalized framework for orthogonaliza tion, in which the classical Gram–Schmidt process appears only as a particular and relatively minor consequence. We rigorously reconstruct the fundamental definitions, lemmas, and computations. The paper emphasizes both the algebraic structure and the inductive methodol ogy that govern the construction of orthogonal systems. Our results highlight the generality of this approach and provide a foundation for further developments in linear algebra and its applications

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[1] A. Björck, Gram–Schmidt Orthogonalization: 100 Years and More, De partment of Mathematics, Linköping University, Sweden. [2] Å. Björck, “Numerics of Gram–Schmidt Orthogonalization,” Linear Al gebra and its Applications, 1994. [3] L. Giraud, J. Langou, M. Rozlozník, and J. van den Eshof, “Round ing Error Analysis of the Classical Gram–Schmidt Orthogonalization Process,” CERFACS Technical Report, 2004. [4] J. R. Rice, “Experiments on Gram–Schmidt Orthogonalization,” Math ematics of Computation, vol. 20, 1966. [5] W. Hoffmann, “Iterative Algorithms for Gram–Schmidt Orthogonaliza tion,” Linear Algebra and its Applications, 1989. [6] O. Balabanov and L. Grigori, “Randomized Gram–Schmidt Process with Application to GMRES,” arXiv:2011.05090, 2020. 5 [7] Y. Deng, “On p-adic Gram–Schmidt Orthogonalization Process,” arXiv:2305.07886, 2023. [8] H. Havlíček, M. J. Lanc, and F. Kárník, “Dimensional Lifting through the Generalized Gram–Schmidt,” Entropy, 22(9):1019, 2020. [9] O. Coulaud, L. Giraud, and A. Iannacito, “On Some Orthogonalization Schemes in Tensor Train Format,” arXiv:2211.08770, 2022. [10] I. Detherage and R. Shah, “A Unified Perspective on Orthogonalization and Diagonalization,” arXiv:2505.02023, 2025.

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