Rank-One Square Matrices: A Diagonalization Criterion

Rank-One Square Matrices: A Diagonalization Criterion

Authors

  • Marcos Travaglia UFPI
  • Francisco Ferreira do Nascimento Junior Universidade Federal do Piauí - Brasil

DOI:

https://doi.org/10.34179/revisem.v10i2.22067

Abstract

In this work, we present two approaches to demonstrate the known result that square matrices of order greater than or equal to 2 with rank 1 are diagonalizable if and only if the sum of the main diagonal (trace) is non-zero. The first approach uses the criterion of the minimal polynomial, and the second approach uses the fact that hyperplanes in Rn are n-1-dimensional.

Keywords: Rank-1 matrices, Diagonalization, Minimal polynomial criterion.

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Published

2025-11-01

How to Cite

Travaglia, M., & Ferreira do Nascimento Junior , F. (2025). Rank-One Square Matrices: A Diagonalization Criterion. Revista Sergipana De Matemática E Educação Matemática, 10(2), 112–135. https://doi.org/10.34179/revisem.v10i2.22067
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