Research Article

Spectral Theorem: Diagonalizable Symmetric Matrix

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Psych Educ Multidisc J, 2022, 4 (7), 727-728, DOI: https://doi.org/10.5281/zenodo.7140908, ISSN 2822-4353
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Abstract

In linear algebra, is the canonical forms of a linear transformation. Given a particularly nice basis for the vector spaces in which one is working, the matrix of a linear transformation may also be particularly nice, revealing some information about how the transformation operates on the vector space.The spectral theorem provides a sufficient criterion for the existence of a particular canonical form. Specifically, the spectral theorem states that if A equals the transpose of A, then A is diagonalizable: there exists an invertible matrix B such that B-1 AB is a diagonal matrix.

Keywords linear algebra canonical forms Spectral Theorem Symmetric Matrix Diagonalizable
Author 1

The team behind this paper

1 author, 1 institution.

This paper Iloilo State College of Fisheries — Philippines Iloilo State College of… 1 author Noriebelle Balbontin — corresponding author NB Noriebelle Balbontin ✉

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344 reads over 34 months.

February 2024 November 2026

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Bibliographic Information

Noriebelle Balbontin (2022). Spectral Theorem: Diagonalizable Symmetric Matrix, Psychology and Education: A Multidisciplinary Journal, 4(7): 727-728
Bibtex Citation
@article{noriebelle_balbontin2022pemj,
author = {Noriebelle Balbontin},
title = {Spectral Theorem: Diagonalizable Symmetric Matrix},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2022},
volume = {4},
number = {7},
pages = {727-728},
doi = {10.5281/zenodo.7140908},
url = {https://scimatic.org/show_manuscript/641}
}
APA Citation
Balbontin, N., (2022). Spectral Theorem: Diagonalizable Symmetric Matrix. Psychology and Education: A Multidisciplinary Journal, 4(7), 727-728. https://doi.org/10.5281/zenodo.7140908

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