678
Views
0
CrossRef citations to date
0
Altmetric
Original Articles

The Fundamental Theorem of Finite Fields: A Proof from First Principles

& ORCID Icon
Pages 268-275 | Received 18 Oct 2020, Accepted 27 Aug 2021, Published online: 14 Feb 2022
 

Abstract

A mathematics student’s first introduction to the fundamental theorem of finite fields (FTFF) often occurs in an advanced abstract algebra course and invokes the power of Galois theory to prove it. Yet, the combinatorial and algebraic coding theory applications of finite fields can show up early on for students in STEM. To make the FTFF more accessible to students lacking exposure to Galois theory, we provide a proof from algebraic “first principles.”

ACKNOWLEDGEMENTS

The authors would like to thank Scott Chapman, Lily Silverstein, and Wencin Poh for numerous helpful conversations. We are grateful to Jesús A. De Loera for sharing his lecture notes from the course that inspired this manuscript. We also wish to thank the referees for their insightful comments.

Additional information

Notes on contributors

Anastasia Chavez

ANASTASIA CHAVEZ received her Ph.D. in mathematics from the University of California, Berkeley. She held a visiting position at the University of California, Davis before joining Saint Mary’s College of California.

Christopher O’Neill

CHRISTOPHER O’NEILL is an Associate Professor at San Diego State University. He received his Ph.D, from Duke University and held visting positions at Texas A&M University and University of California Davis.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 87.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.