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Eigenvalues of Matrices of Low Rank

A technique is discussed for finding the eigenvalues of square matrices of small rank, which is useful for student discovery in a linear algebra class. The eigenvalues of a matrix of rank 1 or 2 can be found by solving a linear or quadratic equation.

Old Node ID: 
1080
Author(s): 
Stewart Venit (California State University, Los Angeles) and Richard Katz (California State University, Los Angeles)
Publication Date: 
Friday, April 14, 2006
Original Publication Source: 
College Mathematics Journal
Original Publication Date: 
May, 2000
Subject(s): 
Algebra and Number Theory
Linear Algebra
Topic(s): 
Linear Algebra
Eigenvalues and Eigenvectors
Flag for Digital Object Identifier: 
Publish Page: 
Furnished by JSTOR: 
Rating Count: 
47.00
Rating Sum: 
149.00
Rating Average: 
3.17
Author (old format): 
Stewart Venit and Richard Katz
Applicable Course(s): 
3.8 Linear/Matrix Algebra
Modify Date: 
Friday, October 6, 2006
Average: 3.2 (47 votes)

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