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Ormrod, J. E. (2003). Educational Psychology: Developing Learners. Merrill Prentice Hall.

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Article

Application of Eigenvalues and Eigenvectors and Diagonalization to Environmental Science

1Department of Mathematics, Hostos Community College, City University of New York, 500 Grand Concourse, Bronx, New York


Applied Ecology and Environmental Sciences. 2014, Vol. 2 No. 4, 106-109
DOI: 10.12691/aees-2-4-4
Copyright © 2014 Science and Education Publishing

Cite this paper:
Tanvir Prince, Nieves Angulo. Application of Eigenvalues and Eigenvectors and Diagonalization to Environmental Science. Applied Ecology and Environmental Sciences. 2014; 2(4):106-109. doi: 10.12691/aees-2-4-4.

Correspondence to: Tanvir  Prince, Department of Mathematics, Hostos Community College, City University of New York, 500 Grand Concourse, Bronx, New York. Email: TPRINCE@HOSTOS.CUNY.EDU

Abstract

Eigenvalues and Eigenvectors are usually taught toward the middle of the semester and this modulo can be implemented right after the topics of diagonalization. Comparing to the other modulo, students will see applications of some advance topics. This also shows one quick application of eigenvalues and eigenvectors in environmental science. There are different types of modeling for the population growth but in this modulo we will introduce the Leslie type’s matrix to model population. More appropriately, this modulo belongs to the realm of “population ecology”.

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