Eigenvalues And Eigenvectors With Application
ABSTRACT
The word eigenvalue and eigenvectors are well known topics
in mathematics. They are derived from the German word "eigen" which
means 'proper" or 'characteristic". 'An eigenvalue of a square matrix
is a scalar that is usually represented by the Greek letter X (pronounced
Lambda). As we all know that the word eigenvector, is a vector. Moreove;, we
require that an eigenvector be a nonzero vector, in other words, an eigenvector
cannot be the zero vector. We will denote an eigenvector by the small letter x.
from the standpoint of mechanical and physical applications, eigenvalue
problems are among the most important problems iii connection with matrices. We
first defrne the basic concepts and explain them in terms of typical examples.
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NDUBUEZE, O (2021). Eigenvalues And Eigenvectors With Application. Mouau.afribary.org: Retrieved Nov 24, 2024, from https://repository.mouau.edu.ng/work/view/eigenvalues-and-eigenvectors-with-application-7-2
OGECHI, NDUBUEZE. "Eigenvalues And Eigenvectors With Application" Mouau.afribary.org. Mouau.afribary.org, 11 Oct. 2021, https://repository.mouau.edu.ng/work/view/eigenvalues-and-eigenvectors-with-application-7-2. Accessed 24 Nov. 2024.
OGECHI, NDUBUEZE. "Eigenvalues And Eigenvectors With Application". Mouau.afribary.org, Mouau.afribary.org, 11 Oct. 2021. Web. 24 Nov. 2024. < https://repository.mouau.edu.ng/work/view/eigenvalues-and-eigenvectors-with-application-7-2 >.
OGECHI, NDUBUEZE. "Eigenvalues And Eigenvectors With Application" Mouau.afribary.org (2021). Accessed 24 Nov. 2024. https://repository.mouau.edu.ng/work/view/eigenvalues-and-eigenvectors-with-application-7-2