Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences


Theoretical and Natural Science

Vol. 41, 24 June 2024


Open Access | Article

A method to test the uniform convergence of function series

Zhian Wu * 1
1 Lanzhou University

* Author to whom correspondence should be addressed.

Theoretical and Natural Science, Vol. 41, 6-9
Published 24 June 2024. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Zhian Wu. A method to test the uniform convergence of function series. TNS (2024) Vol. 41: 6-9. DOI: 10.54254/2753-8818/41/20240105.

Abstract

The series refer to performing infinite addition operations on infinite numbers or functions in a certain order. It is hard to find out whether the positive function series converges uniformly in many cases. In this article, a new method that replacing the sum of function terms series with improper integral will be introduced, which is designed to solve problems that cannot be solved by classical Weierstrass M-test. The Cauchy uniform convergence test will serve as the basis for the entire proof process because it can lead the focus point from the whole sum to the partial sum of the function series, where its value can be easier substituting by the value of the improper integral. After using basic knowledge of the improper integral, the uniform convergence can finally be known. By using this method, testing the uniform convergence of the irregular function series even estimating its value can be possible accomplished.

Keywords

Uniform convergence of function series, Improper integral, Cauchy’s convergence test, Weierstrass M-test, Mathematical analysis

References

1. Thompson,S. and Gardner, M. (1998) Calculus Made Easy. Macmillan and Co. London.

2. O’Connor, J.J. and Robertson, E.F. (1996) A history of calculus. University of St Andrews.

3. James, K. B. (1993) Archimedes and Pi-Revisited. School Sci. Math. 94, 127-29.

4. Nicholas, P. (2020) A note on convergence of sequences of functions. Topol.Appl. 275.

5. Viertel, K. (2021) The development of the concept of uniform convergence in Karl Weierstrass’s lectures and publications between 1861 and 1886. Arch. Hist. Exact Sci. 455-490.

6. Henrik, K. S. (2005) Exceptions and counterexamples: Understanding Abel’s comment on Cauchy’s Theorem. Hist. Math., 32, 453-480

7. Christian, K. Tanguy, R. (2005) How can we escape Thomae’s relations? J. Math. Soc. Japan, 183-210

8. Rudin, W. (1953) Principle of Mathematical Analysis. McGraw-Hill, Inc. New York.

9. Florentin, S. (2006) A Triple Inequality with Series and Improper Integrals. Bull. Pure Appl. Sci.,25,

10. Chen, J. Yu, C. and Lu, J. (2018) Genuine Mathematical Analysis. Higher Education Press.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of Machine Learning: Integrating machine learning techniques to advance network security - CONFMPCS 2024
ISBN (Print)
978-1-83558-493-4
ISBN (Online)
978-1-83558-494-1
Published Date
24 June 2024
Series
Theoretical and Natural Science
ISSN (Print)
2753-8818
ISSN (Online)
2753-8826
DOI
10.54254/2753-8818/41/20240105
Copyright
24 June 2024
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated