The Taylor's Theorem and Its Application
DOI:
https://doi.org/10.54097/98knf072Keywords:
Taylor's Theorem, remainder, Application.Abstract
Taylor's theorem is an essential concept in calculus. By constructing polynomials, Taylor's formula can simplify calculations by approximating complex functions so that a variety of functions can be analyzed in detail. This paper explores the form and proof of Taylor's theorem based on Peano and Lagrange remainder forms as well as the Polynomial interpolation. Then, examples of the application of Taylor’s theorem in mathematics fields, such as limit calculation and high-order derivatives computation, are discussed. Additionally, the applications of Taylor’s theorem in other related subjects are examined. Based on the chronological investigation, the Taylor theorem is widely used in physics, engineering, and other fields as a computational tool. The Taylor theorem has gradually been used in machine learning because of the rapid development of computer science in recent years. The purpose of this paper is to summarize the different forms and proofs of Taylor's formula and discuss the development of its application over time.
Downloads
References
Schütz, Thomas, Rita Streblow, Dirk Müller. A comparison of thermal energy storage models for building energy system optimization. Energy and Buildings, 2015, 93: 23 - 31.
Srivastava, H. M., Devendra K., Jagdev S. An efficient analytical technique for fractional model of vibration equation. Applied Mathematical Modelling, 2017, 45: 192 - 204.
Ding, Yuanyuan, Zhao Qin, Li Baoqing, et al. Facial expression recognition from image sequence based on LBP and Taylor expansion. IEEE Access, 2017, 5: 19409 - 19419.
Hošek Radim. Expressing the remainder of the Taylor polynomial when the function lacks smoothness. Elemente der Mathematik, 2017,72 (3): 126 - 130.
Li Wei, Zhu Luyao, Cambria Erik. Taylor’s theorem: A new perspective for neural tensor networks. Knowledge-Based Systems, 2021, 228: 107258.
Guan X., Yang Y., Li J., et al. Mind the remainder: taylor’s theorem view on recurrent neural networks. IEEE Transactions on Neural Networks and Learning Systems, 2021, 33 (4): 1507 - 1519.
Navarro J.D., Millwater H.R., Montoya A., et al. Arbitrary-Order sensitivity analysis in phononic metamaterials using the multicomplex taylor series expansion method coupled with bloch’s theorem. Journal of Applied Mechanics, 2022, 89 (2): 021007.
Lente, Gabor, Alexandra Fursenko, and Rebeka Szabo. Use of the Taylor theorem to predict kinetic curves in an arbitrary mechanism. Chemical Engineering Journal, 2022, 445: 136676.
Tong Y., Yu L., Li S., et al. Polynomial fitting algorithm based on neural network. ASP Transactions on Pattern Recognition and Intelligent Systems, 2021, 1 (1): 32 - 39.
Deng Xiangcong. Multi-angle analysis of the application of Taylor formula in further mathematics. Star of the Century - High school edition, 2022, 21: 0124 - 0126.
Downloads
Published
Issue
Section
License
Copyright (c) 2023 Highlights in Science, Engineering and Technology

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.







