Finding general solution to linear system

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SUMMARY

The discussion centers on the properties of eigenvectors in linear systems, specifically addressing the misconception regarding the zero vector. It is established that eigenvectors must be non-zero vectors, as they are defined to satisfy the equation ##Ax = \lambda x## for any matrix ##A## and scalar ##\lambda##. The zero vector, while it mathematically satisfies the equation, does not qualify as an eigenvector due to its lack of direction and magnitude.

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Homework Statement
Please see below. I am unsure why the example says we cannot choose ##v_1 = (0, 0)##.
Relevant Equations
Please see below.
For this problem,
1715207003245.png

My working is,
##0v_1 + 0v_2 = 0##, however, does someone please know why the example says we cannot choose ##v_1 = (0, 0)## since from ##0v_1 + 0v_2 = 0## ##v_1, v_2 \in \mathbb{R}## i.e there is no restriction on what the vector components could be)?

Thanks!
 
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Eigenvectors are non-zero vectors by definition.

Zero vector satisfies ##Ax=\lambda x## for any ##A## and any ##\lambda##.
 
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