Linear Algebra: Ch 3 - Eigenvalues and Eigenvectors (9 of 35) Bases and Eigenvalues: 1

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In this video I will explain and give an example of what are bases and eigenspaces and find the basis for the eigenspace associated with matrix A and eigenvalue=4.

Next video in this series can be seen at:
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Now that the Coronavirus is making my class more difficult, it's nice to see something explained so clearly. Thank you so much.

chasegregory
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Professor van Biezen, regarding my previous comment, I watched the next video in this series, and now understand your nomenclature.

rah
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Don't we need both vectors v1 and v2 (belonging to l1 =4, l1 =1) to form a basis for A?

rah
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Professer plz explain what is the values of x in x*3=1/8

vijaybhatt