DIDACTIC ASPECTS OF SIMPLIFYING THE ORTHOGONALIZATION PROCESS AND DEVELOPING STUDENTS’ RESEARCH ACTIVITIES

Authors

  • Ibragimov Husniddin Hikmatovich Denov tadbirkorlik va pedagogika instituti, Surxondaryo, Uzbekistan, Author
  • Abduraxmonova Qizlarbas Abdurashid qizi Denov tadbirkorlik va pedagogika instituti, Surxondaryo, Uzbekistan, Author

Keywords:

Euclidean space, orthogonal basis, Gram-Schmidt process, proportional modification, computational efficiency.

Abstract

This paper investigates the Gram-Schmidt algorithm for orthogonalizing an arbitrary basis in Euclidean space and its practical challenges. It analyzes complex fractional expressions that occur in traditional calculations, leading to increased mechanical errors among students. The paper proposes a methodology to simplify the algorithm by transforming intermediate orthogonal vectors into integer forms (proportional modification). Analysis conducted on a four-dimensional  space demonstrated that this methodology reduces algebraic confusion by up to  in practical computations and significantly improves time efficiency during lessons.

References

Strang G. Introduction to Linear Algebra. 5th ed. – Wellesley, MA: Wellesley-Cambridge Press, 2016. – 594 p.

Lay D. C., Lay S. R., McDonald J. J. Linear Algebra and Its Applications. 6th ed. – Boston: Pearson, 2020. – 576 p.

Golub G. H., Van Loan C. F. Matrix Computations. 4th ed. – Baltimore: Johns Hopkins University Press, 2013. – 756 p.

Leon S. J., Björck Å., Gander W. Gram–Schmidt orthogonalization: 100 years and more // Numerical Linear Algebra with Applications. – 2013. – Vol. 20, No. 3. – P. 492–532.

Björck Å. Numerics of Gram–Schmidt orthogonalization // Linear Algebra and Its Applications. – 1994. – Vol. 197–198. – P. 297–316.

Ruhe A. Numerical aspects of Gram–Schmidt orthogonalization of vectors // Linear Algebra and Its Applications. – 1983. – Vol. 52–53. – P. 591–601.

Mejia-Domenzain L., Lourenco C., Moreno-Centeno E. Roundoff-error-free QR factorization via integer-preserving Gram–Schmidt orthogonalization // Linear and Multilinear Algebra. – 2025. – Vol. 73, No. 16. – P. 3592–3608.

Balabanov O., Grigori L. Randomized Block Gram–Schmidt Process for the Solution of Linear Systems and Eigenvalue Problems // SIAM Journal on Scientific Computing. – 2025. – Vol. 47, No. 1. – P. A553–A585.

Zou Q. Probabilistic Rounding Error Analysis of Modified Gram–Schmidt // SIAM Journal on Matrix Analysis and Applications. – 2024. – Vol. 45, No. 2. – P. 1076–1088.

Carson E., Lund K., Ma Y., Oktay E. On the loss of orthogonality in low-synchronization variants of reorthogonalized block classical Gram–Schmidt. – 2024. – arXiv preprint.

Aslonov J. O. Chiziqli algebra va analitik geometriya. – Toshkent: Innovatsiya-Ziyo, 2020. – 208 b.

Raxmatov R. R., Adizov A. A., Tadjibayeva Sh. E., Shoyimardonov S. K. Chiziqli algebra va analitik geometriya. – Toshkent: Mahalla va oila, 2021. – 254 b.

Xudoyberganov G., Vorisov A. K., Mansurov X. T. Matematik analizdan ma’ruzalar. I-qism. – Toshkent: Universitet, 2010. – 384 b.

Wardani I. B., Sunardi H. Ortonormalisasi vektor basis dengan proses Gram–Schmidt // Buana Matematika. – 2015. – Vol. 5, No. 2. – P. 1–8.

Azimov B. B. Oliy ta’limda chiziqli algebra tushunchalarini o‘qitishning pedagogik va metodik asoslari // Pedagogik Mahorat. – 2023. – № 4(2). – B. 45–52.

Downloads

Published

2026-06-23

How to Cite

Ibragimov, H., & Abduraxmonova, Q. (2026). DIDACTIC ASPECTS OF SIMPLIFYING THE ORTHOGONALIZATION PROCESS AND DEVELOPING STUDENTS’ RESEARCH ACTIVITIES. Eurasian Journal of Mathematical Theory and Computer Sciences, 6(6), 12-18. https://www.in-academy.uz/index.php/EJMTCS/article/view/53491
Innovative Academy RSC
Article metrics Views and PDF downloads
8 Views
0 Downloads