Finding general solution to linear system

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The discussion centers on the confusion surrounding the choice of the zero vector as a solution in a linear system. It highlights that while the equation 0v_1 + 0v_2 = 0 appears to allow for any vector, including the zero vector, eigenvectors are defined as non-zero vectors. The zero vector does satisfy the eigenvalue equation Ax = λx for any matrix A and eigenvalue λ, but it is not considered a valid eigenvector. The distinction is crucial for understanding the properties of eigenvectors in linear algebra. Thus, the example emphasizes the importance of adhering to the definition of eigenvectors.
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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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Question: A clock's minute hand has length 4 and its hour hand has length 3. What is the distance between the tips at the moment when it is increasing most rapidly?(Putnam Exam Question) Answer: Making assumption that both the hands moves at constant angular velocities, the answer is ## \sqrt{7} .## But don't you think this assumption is somewhat doubtful and wrong?

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